Chai Time Data Science

Video Version: https://youtu.be/pgzEqhuGBd0

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In this episode, Sanyam Bhutani talks Python to the amazing podcaster, content creator and educator: Michael Kennedy, the host of talk Python podcast and Python Bytes podcast,

In this episode, they talk about Michael's journey in programming and with Python. Michael has been hosting the podcast for five years and has been in the programming world for even longer, they dive into what he's learned through this and his perspective, how it has evolved through creating content, and to creating these courses and, and eventually a business around it as well.

Links:

https://talkpython.fm/home

Automating the saw: https://www.youtube.com/watch?v=JEImn7s7x1o

The ML leads to 50 exoplanet discovery: https://www.techrepublic.com/article/machine-learning-algorithm-confirms-50-new-exoplanets-in-historic-first/

Follow:

Michael Kennedy:

https://twitter.com/mkennedy

https://www.linkedin.com/in/mkennedy/

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version: https://youtu.be/SiUnKGD90uI

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews the VP, GM of DGX Systems at NVIDIA.

NVIDIA recently unveiled their new DGX A100 systems and new A100 GPUs, that are really pushing the envelope of super computing.

In this episode, they discuss the engineering that goes behind the scenes, how the systems are designed and their origin, how these have evolved over the years and NVIDIA's design philosophy as a proxy to understanding how these might bleed into consumer GPUs over time.

Links:

Links: https://nvda.ws/32HaMCm 

https://nvidianews.nvidia.com/news/nvidia-dgx-station-a100-offers-researchers-ai-data-center-in-a-box 

https://www.youtube.com/watch?v=TKtN04z7Q5Q

Follow:

Charlie Boyle:

https://www.linkedin.com/in/charlie-boyle-0201a8/

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version: https://youtu.be/RvwynqDUoQE

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews PhD Student: Tim Dettmers for the second time on the show!

In this episode, they talk a lot about research in general, and the personal aspect of research, which isn't covered as much: How you should pick a grad school, Is creativity important in academia

They talk a lot about personal side of things while you're going through the process of exploration in research, or in life in general

They also talked about the RTX 3000 series, and discussed a few FAQs based on these.

Links:

https://timdettmers.com/2020/03/10/how-to-pick-your-grad-school/

https://timdettmers.com/2020/09/07/which-gpu-for-deep-learning/

Follow:

Tim Dettmers:

https://twitter.com/tim_dettmers

https://timdettmers.com

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

#GoogleAI #Research #MultiModal

Video Version: https://youtu.be/1O15z3Bv3UE

In this episode, Sanyam Bhutani interviews the Beluga of Kaggle World, Competitions GM: Gabor Fodor.

They talk about Gabor's journey into Data Science, Kaggle and his 10th Pos Solo Gold Finish on the Cornell Birdcall competition

Links:

Comp Link: https://www.kaggle.com/c/birdsong-recognition

Writeup: https://www.kaggle.com/c/birdsong-recognition/discussion/183407

Follow:

Gabor Fodor:

https://twitter.com/BelugaFodor

https://www.linkedin.com/in/gábor-fodor-6a081548/

https://www.kaggle.com/gaborfodor

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version: https://youtu.be/n2bUu9AcGnE

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews one of his teachers, content creator and Quantum AI Research Scientist: Luis Serrano

In this episode, they talk about Luis' process of creating the amazing videos for anyone to enjoy on his YouTube channel, they talk about his process of creating this, his journey of teaching thousands, now millions of people through his content.

They also discuss about his book, his upcoming book titled Grokking Machine Learning, which is as you might expect him for anyone who's interested in machine learning, there are no prerequisites. This interview is filled with different golden advices someone with Luis' background of having taught so many people would have.

Links:

Grokking Machine Learning: https://www.google.com/search?client=safari&rls=en&q=Grokking+Machine+Learning&ie=UTF-8&oe=UTF-8

Follow:

Luis Serrano:

https://twitter.com/luis_likes_math

https://www.linkedin.com/in/luisgserrano/

https://serrano.academy

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

#GoogleAI #Research #MultiModal

Video Version: https://youtu.be/-OSWCeo18vs

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews two amazing Data Scientists who've quite literally authored a book on Building a Career in Data Science: Jacqueline Nolis and Emily Robinson.

Both of the amazing heroes on this episode have worked across different industries, and have written amazing blog posts. They've also written a book quite literally on the topic of building a career in data science. It covers topics that aren't usually discussed almost anywhere, have the soft skills side of things and things you learn in your jobs over the years.

Links:

https://www.manning.com/books/build-your-career-in-data-science?a_aid=buildcareer&a_bid=76784b6a

http://podcast.bestbook.cool

Follow:

Jacqueline Nolis:

http://twitter.com/skyetetra

Emily Robinson:

https://twitter.com/robinson_es

https://www.linkedin.com/in/robinsones/

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version: https://youtu.be/wxVGu8vKvG8

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews the authors of the book "Building ML Pipelines": Catherine Nelson and Hannes Hapke

Catherine is a data scientist at SAP concur labs. And Hannes is an ML Engineer in the same company.

They talk about the journey into machine learning and the journey into this world of building machine learning pipelines, they dive into depth about the book, covering:

- Who's the book really for?

- What does it cover?

- What can you expect out of it?

Links:

https://www.buildingmlpipelines.com

Follow:

Catherine Nelson:

https://twitter.com/drcatnelson

Hannes Hapke:

https://twitter.com/hanneshapke

hanneshapke.github.io

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version: https://youtu.be/nShflQj5RXY

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews a Content Creator, Educator, Data Scientist and Kaggler: Jeff Heaton

Jeff is currently VP at RGA, and an amazing content creator on YouTube, he puts out videos almost every week in the realm of machine learning, broadly speaking. He's also an adjunct professor at Washington University, they talk about his journey, into machine learning, data science kaggle, content creation, how he got started across all of these different things.

Follow:

Jeff Heaton:

https://twitter.com/jeffheaton

https://github.com/jeffheaton

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version: https://youtu.be/UmEFK4RinUU

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews Data Scientist, Content Creator: @Ken Jee

They talk about his journey into Data Science, Creating content and Sports Analytics. They discuss what Ken has learned via creating content and how does his experience tie in together with everything he has been doing.

Follow:

Ken Jee:

http://twitter.com/kenjee_ds

https://kennethjee.com

https://www.linkedin.com/in/kenjee/

https://www.youtube.com/channel/UCiT9RITQ9PW6BhXK0y2jaeg

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version: https://youtu.be/NRl3lMlixPc

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews two Kaggle legends: Philipp Singer and Christof Henkel about their team's Winning Solution to the Google Landmark Recognition 2020 Kaggle competition.

This interview is a continued conversation with both of the legends, please find the older interviews to know more about their journey and watch this one for their winning solution and Christof's wisdom :D

Links:

Winning Writeup: https://www.kaggle.com/c/landmark-recognition-2020/discussion/187821

Github Link: https://github.com/psinger/kaggle-landmark-recognition-2020-1st-place

Paper Link: https://arxiv.org/abs/2010.01650

Prev Interviews:

Psi:

NFL Data Bowl Win Sol: https://www.youtube.com/watch?v=_Srv0bKmfjY

IEEE-CIS Comp 6th Pos Sol: https://www.youtube.com/watch?v=7sh5QrUIAHI

Jigsaw & Tweet Sentiment: https://youtu.be/_X6wl0CX8xA

Christof Henkel:

Google Quest Q&A Labelling Comp 2nd Pos Sol: https://www.youtube.com/watch?v=Q0_Xajic_9U

Follow:

Philipp Singer:

https://twitter.com/ph_singer

https://www.kaggle.com/philippsinger

Christof Henkel:

https://twitter.com/kagglingdieter

https://www.kaggle.com/christofhenkel

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version: https://youtu.be/invR7r7c_pU

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews another NLP Hero from 🤗, the CSO: Thomas Wolf.

They talk about Thomas's journey into the field, Thomas has worked across many different fields, and they connect the dots of how he followed his passions leading towards finally now NLP and the world of transformers.

They talk about his research work and his work at hugging face. Thomas shares his overview of the pipelines that he works on at hugging face, the resources that he contributes to, and the project that he at the time of recording was involved in. There are many great advices on how to get started in NLP and in the world of machine learning as well.

Links:

https://huggingface.co

https://twitter.com/huggingface

Follow:

Thomas Wolf:

https://twitter.com/Thom_Wolf

https://www.linkedin.com/in/thomas-wolf-a056857

https://thomwolf.io

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version: https://youtu.be/I7376Wl8JQ4

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews the Chief Data Scientist at Mor consulting and an author of High Performance Python with O'Reilly: Ian Ozsvald.

They talk all about his rich experience in Python and in data science, broadly speaking.

Ian shares a lot of insights that he's picked up along his journey while working on so many rich projects, so many projects across different consulting tasks, different consulting missions that he's taken up.

They also touch upon his book: who should pick read the book, and what will they get out of it. Ian also broadly shares many amazing advices that he has learned over over all of these years.

Links:

https://www.oreilly.com/library/view/high-performance-python/9781492055013/

Follow:

Ian Ozsvald:

https://twitter.com/ianozsvald

https://www.linkedin.com/in/ianozsvald/

https://ianozsvald.com

https://morconsulting.com

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version: https://youtu.be/CaoQLrSBk0o

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

This episode, which is an excerpt from Sanyam Bhutani's complete interview with Tim Dettmers

In this small excerpt, they discuss the RTX 3000 FAQs:

- Should you buy these?

- Which ones should you buy?

- How can you make two of these work together?

- Are they slower than the expected Quadro Cards?

Links:

https://timdettmers.com/2020/09/07/which-gpu-for-deep-learning/

Follow:

Tim Dettmers:

https://twitter.com/tim_dettmers

https://timdettmers.com

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version: https://youtu.be/XoHYqL_LlWs

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews Kaggle Master and Sr. Software Engineer: Kun Hao Yeh.

They Talk about their team's 14th pos gold solution to the SIIM ISIC Melanoma Classification Comp.

They also discuss Kun Hao's journey from taking one of the courses by Marios to teaming up with him along with many Kaggle Tips & Tricks

Links: 

Wining Sol: https://www.kaggle.com/c/siim-isic-melanoma-classification/discussion/175403

Interview with Marios: https://www.youtube.com/watch?v=A3GvuHqGGZI

Follow:

Kun Hao Yeh:

https://www.linkedin.com/in/michaelkhyeh/

https://www.kaggle.com/khyeh0719

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

#Fastai #Learning #PyTorch

Video Version: https://youtu.be/ZrXaY3tdXuc

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews two of his mentors, peers from fast.ai, DL Engineers at Mercado Libre: Jose Fernandez Portal and Francisco Ingham.

This episode is a lot about making a transition into the field: Learning via fast.ai, and how to foster a community similar to fast.ai in your local region, the importance of this, Jose and Francisco both have taken the course have shared a similar journey and share a lot of interesting advices along these lines on how you should approach the material, make the most out of it. How should you plan your time around it, and how should you find the projects to pursue.

Links:

Combining Tabular data & speech: https://forums.fast.ai/t/share-your-work-here/27676/526

SGD Animator: https://forums.fast.ai/t/share-your-work-here/27676/300

Learning AI: My Journey by Francisco: https://medium.com/@fpingham/learning-ai-my-journey-d99f47ba79f

Follow:

Jose Fernandez Portal:

https://twitter.com/joshfp

https://www.linkedin.com/in/josefp/

Francisco Ingham:

https://twitter.com/fpingham

https://medium.com/@fpingham

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version: https://youtu.be/UVZm2gEZhtA

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews two amazing Kagglers, Kaggle Masters: "DrHB" & "CatEek": Habib Bukhari & Igor Zubarev.

They discuss their team's second position in the PANDA competition, The competition stands for Prostate cANcer graDe Assessment.

Their team, "Save the prostate" ranked second in the private leaderboard, they discuss about the journey into machine learning and kaggle. They connect the dots of how both of them got interested in ML and in kaggle, How did they get addicted to the platform.

They discuss about their approach to competitions, the teaming up approach, and their solution overview.

Links:

https://www.kaggle.com/c/prostate-cancer-grade-assessment

https://www.kaggle.com/c/prostate-cancer-grade-assessment/discussion/169108

Follow:

Habib Bukhari:

https://twitter.com/dr_hb_ai

https://www.kaggle.com/drhabib

Igor Zubarev:

https://www.kaggle.com/cateek

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version: https://youtu.be/dIejo08k9mI

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews Research Engineer at FAIR: Marie-Anne Lachaux.

They discuss the joint work shared by Marie-Anne, "Unsupervised translation of programming languages"

If you're unaware: it's an amazing, mind-blowing work demonstrating how to translate code from one language to another.

They. dive into her research and her journey into the field along with how research projects are approached at FAIR Labs.

Links:

Unsupervised Translation of Programming Languages: https://arxiv.org/abs/2006.03511

Follow:

Marie-Anne Lachaux:

https://twitter.com/malachaux

https://www.linkedin.com/in/marieannelachaux/

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version: https://youtu.be/fOEG6EpAsLI

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews the Head of Growth at Weights & Biases: Lavanya Shukla

Lavanya Shukla has a very interesting journey into machine learning and programming, they talk all about how she started programming at the age of 10 built amazing websites through a dial up connection in India, and over the years improved her skills, eventually joining a computer science degree programme and dropping out of it and then finding her passion for machine learning.

They also talk a lot about general advices on how should you progress in your programming and machine learning journey.

Links:

Weights and Biases: https://www.wandb.com

Follow:

Lavanya Shukla:

https://twitter.com/lavanyaai

https://lavanya.ai/

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Audio (Podcast Version) available here: https://anchor.fm/chaitimedatascience

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews Kaggle Comp Master, Lead Data Scientist at OLX Group: Alexey Grigorev.

They talk about his experience of transitioning into ML, how he did it, how was kaggle helpful.

Alexey shares a very honest overview of how his university how how much his university was helpful or not, and how was Kaggle helpfu

They also discuss Alexey's upcoming book: Machine Learning Bookcamp.

Links:

https://www.manning.com/books/machine-learning-bookcamp

Follow:

Alexey Grigorev:

https://twitter.com/al_grigor

https://www.linkedin.com/in/agrigorev/?originalSubdomain=de

https://alexeygrigorev.com

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

#Scale #OLX #MachineLearning

GTC Conference tickets giveaway details: https://twitter.com/bhutanisanyam1/status/1306637737592840193?s=20

Video Version: https://youtu.be/guJT5GOiNjA

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews the VP of Applied Research at NVIDIA: Bryan Catanzaro

They talk about Bryan's journey into ML and his journey at NVIDIA as a proxy to understanding the evolution of research being done at NVIDIA.

They discuss how Bryan's work led to the creation of CuDNN and what tasks he is involved in

Towards the later end, they also briefly discuss the recently launched RTX 3000 Series.

Follow:

Bryan Catanzaro:

https://twitter.com/ctnzr

https://ctnzr.io

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

#NVIDIA #RTX3000 #Research

Video Version: https://youtu.be/VPdmamFR6y8

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews the SRK of Kaggle, 3x Kaggle Grandmaster and Data Scientist at H2O.ai: Sudalai Rajkumar.

This interview is a Part-2 of the previous blog interview, they talk about SRK's journey to becoming 3x Kaggle GM along with his journey in Data Science and Kaggle.

SRK shares many solid suggestions for people getting started in Data Science and Kaggle as well as for people with a "Non-Traditional" Background

Links:

Prev Interview: https://hackernoon.com/interview-with-twice-kaggle-grandmaster-and-data-scientist-at-h20-ai-sudalai-rajkumar-cd952ef0c522

Follow:

SRK:

https://twitter.com/sudalairajkumar

https://www.kaggle.com/sudalairajkumar

http://linkedin.com/in/sudalairajkumar

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version: https://youtu.be/O7JwKAv99_M

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews Research Scholar at Google brain: Sara Hooker.

Sara has an amazing background and a "non-traditional" path into research. They talk all about her journey into research into machine learning. Sara is still very much connected to her roots, she's from Africa, and she shares her amazing perspective on how different problems, different constraints can contribute to the field, research, or otherwise in interesting ways.

Towards the end they also briefly dive into her recent works.

Links:

Underrated ML: https://www.underratedml.com

Selective Brain Damage: Measuring the Disparate Impact of Model Pruning: https://arxiv.org/pdf/1911.05248

Follow:

Sara Hooker:

https://twitter.com/sarahookr

https://www.sarahooker.me

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version: https://youtu.be/wyfROwJUW-Y

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews the Computer Vision Guru, Chief at PyImageSearch: Dr. Adrian Rosebrock.

This interview is part-2 of Sanyam's blog interview with Adrian. They talk about Adrian's journey into CV and ML. They also discuss the secrets of PyImageSearch HQ and how the amazing tutorials are created.

They also talk about Adrian's upcoming OCR Book and the importance of OCR.

Links:

OCR Book (Indiegogo link): https://www.indiegogo.com/projects/ocr-with-opencv-tesseract-and-python/

PyImageSearch: https://www.pyimagesearch.com

Courses and Books by Adrian: https://www.pyimagesearch.com/books-and-courses/

Previous Interview: https://hackernoon.com/interview-with-the-author-of-pyimagesearch-and-computer-vision-practitioner-dr-adrian-rosebrock-e00583a225a0

Follow:

Adrian Rosebrock:

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

#OpenCV #PyImageSearch #ComputerVision

Video Version: https://youtu.be/o-2NJWKWwdA

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews Computer Vision Research Engineer at EPFL: Anastasiia Mishchuk

They talk about her journey into research, into engineering, and also on kaggle. Anastasiia is a kaggle competition master: They talk about her perspective on kaggle and also dive into her process of approaching research problems and discuss one of her recent works.

Follow:

Anastasiia Mishchuk:

https://twitter.com/Ana_Geneva

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Personal Note: This is one of the best interviews that I've had the privilege of conducting. Every single answer by Dima, every single qoute is simply, golden.

Video Link: https://youtu.be/GXqq_hj-UuY

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews an associate professor at the University of Bristol and CV researcher with interests in action recognition and video recognition: Dr. Dima Damen

They talk about her journey into the field and her research, what she's learned from working with so many students advising PhD, Masters and undergrad students and about how she teaches computer vision.

They discuss her recent works on action recognition, along with kitchens 100 data set that she's recently created.

Links:

Epic-Kitchens-100 Webpage: https://epic-kitchens.github.io/2020-100

Epic-Kitchens-100 Trailer: https://www.youtube.com/watch?v=8IzkrWAfAGg

Follow:

Dima Damen:

https://twitter.com/dimadamen

https://www.linkedin.com/in/dimadamen/

http://people.cs.bris.ac.uk/~damen/

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version: https://youtu.be/NrkfNqz5w7M

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews PhD Student at Stanford, AI and vision lab: Andrey Kurenkov

This interview is a more critical take on research and different aspects of Andrey's research. They talk about what he's learned through his mistakes at grad school.

They also discuss about TheGradient.pub, and Andrey's process of writing.

Links:

"All my failures in Grad School": https://www.youtube.com/watch?v=uxYpJ5mMKx0

Follow:

Andrey Kurenkov:

https://twitter.com/andrey_kurenkov

https://www.andreykurenkov.com

https://www.linkedin.com/in/andreykurenkov/

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version: https://youtu.be/Fc6IEqEEpZw

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews Computer Vision Researcher: Fatma Guney

They talk all about Computer Vision, her research interests: optical flow and even beyond, self driving cars.

Fatma has also taught a few courses based on computer vision and they dive into her take on what should students focus on in this field.

Links:

Unsupervised Learning of Multi-Frame Optical Flow with Occlusions: http://www.cvlibs.net/publications/Janai2018ECCV.pdf

Slow Flow: Exploiting High-Speed Cameras for Accurate and Diverse Optical Flow Reference Data:

http://www.cvlibs.net/publications/Janai2017CVPR.pdf

Computer Vision for Autonomous Vehicles: Problems, Datasets and State-of the-Art:

https://arxiv.org/abs/1704.05519

Follow:

Fatma Guney:

https://twitter.com/ftmguney

https://mysite.ku.edu.tr/fguney/

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version: https://youtu.be/G1ZvjJYRxH8

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews a Kaggle Grandmaster from Turkey, Sr. Software Engineer at Rapids.ai: Ahmet Erdem

They talk all about Ahmet's Kaggle journey, and his seventh place solo gold solution to the Trends Neuroimaging competition.

Ahmet has been competing for a few years now, they discuss his approach to Kaggle which has led him to achieving 50% medals solo versus 50% in a team.

Links:

Interview with Even Oldridge: https://www.youtube.com/watch?v=-WzXIV8P_Jk

7th Place Solution writeup: https://www.kaggle.com/c/trends-assessment-prediction/discussion/162787

Follow:

Ahmet Erdem:

https://twitter.com/a_erdem4

https://www.linkedin.com/in/aerdem4/

https://www.kaggle.com/aerdem4

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version: https://youtu.be/zgC8fjF0Now

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews Abhishek Thakur for the 2nd time!

They talk about his book: Approaching (Almost) any ML Problem, Abhishek's process to creating Videos and his process to writing the book.

They also discuss on how to effectively approach Kaggle and Abhishek shares many advices that are applicable to Kaggle.

Links:

Previous Interview: https://www.youtube.com/watch?v=Ezbo57Z33N8

Follow:

Abhishek Thakur

Twitter: https://twitter.com/abhi1thakur

YouTube: https://www.youtube.com/channel/UCBPRJjIWfyNG4X-CRbnv78A

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Video version: https://youtu.be/lkUhibNLMNk

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews Data Scientist at H2O.ai, the new King of Kaggle Competitions, new Rank 1: Dr. Guanshuo Xu

Guanshuo has just secured the title with his win in Alaska2 Image Steganalysis competition, in his journey he has achieved 15 gold medals, 15 silver medals, out of these 10 are solo gold 13 are solo Silver!

They talk about his journey on Kaggle, he shares a few advices around how you should approach Kaggle, and how his approach has changed, how he approaches competition and how he learned over the period of competing on Kaggle.

They also briefly discuss his solution to the Alaska2 competition as a proxy to understanding his approach to competitions.

They also talk about his role at H2O.ai and the projects that he is contributing to.

Links:

Alaska2 Comp Page: https://www.kaggle.com/c/alaska2-image-steganalysis/discussion

Solution Writeup: https://www.kaggle.com/c/alaska2-image-steganalysis/discussion/168548

Follow:

Dr. Guanshuo Xu:

https://www.linkedin.com/in/guanshuo-xu/

https://www.kaggle.com/wowfattie

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Audio (Podcast Version) available here: https://anchor.fm/chaitimedatascience

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this Episode, Sanyam Bhutani interviews one of his personal mentors and a mentor and a guru to the Indian machine learning community, Aakash Nain: Deep Learning engineer at Ola, GoogleDev Expert and TensorFlow add on maintainer.

This interview is really part two of the earlier blog interview with Akash. In this interview, they really expand on the things from earlier and discuss Aakash's journey into open source, how his appreciation for open source TensorFlow and good API has evolved.

He also shares many amazing advices on how someone who's interested in becoming a better practitioner, better Kaggler, better contributor, can learn and learn from Aakash's mistakes as well.

Previous Interview: https://medium.com/dsnet/interview-with-kaggle-kernels-expert-aakash-nain-73209223bbd0

Follow:

Aakash Nain:

https://twitter.com/A_K_Nain

https://t.co/BuGVTun1TH?amp=1

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version: https://youtu.be/WyVWt3Jr6O8

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews Rachael Tatman for the second time!

This interview is a continuation of the same, Rachael was earlier at Kaggle, and they start the interview by talking about her work at Kaggle, and her involvement with the community's contribution towards her journey.

Later, shifting gears into her role today, which is a developer advocate at Rasa: What exactly does a Developer Advocate mean?

Rachael also shares many interesting opinions on conversational AI, her opinion of the state of conversational AI in 2020, and many great interesting project ideas for any of you that's interesting in building projects out using Rasa, or otherwise, for anyone who's seeking ideas

They talk about her process of content creation, and if you watch any of our streams, they also discuss how does she brings so much positivity and so much energy to all of our streams.

Links:

Previous Interview: https://medium.com/dsnet/interview-with-data-scientist-at-kaggle-dr-rachael-tatman-8bc61f9efdb9

https://rasa.com

Follow:

Rachael Tatman:

https://twitter.com/rctatman

http://www.rctatman.com

https://www.kaggle.com/rtatman

https://www.linkedin.com/in/rachael-tatman-500a323a/

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

#Chatbots #Rasa #Kaggle

Video Version: https://youtu.be/_X6wl0CX8xA

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews the relentless Solo Lion from The Zoo: Philipp Singer for the 3rd time!

Philipp has just become a competition Gandnaster after gold meddling solo in two competitions bringing 11 gold medals to his profile!

They talk about his journey on kaggle: his reflections on this journey to becoming a grandmaster in one and a half years, his secret to winning and his constant success on kaggle.

They also discuss about his recent role: he's just joined the team at h2o.ai, and we discuss about what tasks is he taking on here.

Timestamps:

00:00: Intro

03:24: Grandmaster Fight Club & Favourite Kaggle Memories

08:50: Advice to yourself from the past

12:23: New role and H2O.ai

17:12: Competing in 2 comps

19:23: Jigsaw Comp

40:12: Twitter Sentiment Comp

58:42: What's next for you?

Links:

Jigsaw Multilingual Toxic Comment Classification 8th Pos Sol writeup by Philipp: https://www.kaggle.com/c/jigsaw-multilingual-toxic-comment-classification/discussion/160937

Tweet Sentiment Extraction, 11th Pos Sol Writeup by. Philipp: https://www.kaggle.com/c/tweet-sentiment-extraction/discussion/159440

Previous Interviews:

NFL Data Bowl Win Sol: https://www.youtube.com/watch?v=_Srv0bKmfjY

IEEE-CIS Comp 6th Pos Sol: https://www.youtube.com/watch?v=7sh5QrUIAHI

Follow:

Dr. Philipp Singer:

https://twitter.com/ph_singer

https://www.linkedin.com/in/philippsinger/

https://www.kaggle.com/philippsinger

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Personal Note: In My opinion, this interview really connects the dots well for anyone who's looking to make a transition or just starting the journey in data science via Kaggle.

Video Version: https://youtu.be/uBr1HXHWjOQ

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews Dual Grandmaster and Competitions Master: Rob Mulla.

They talk about Rob's journey into data: He started as an electrical engineer transitioned into analytics and data science afterwards.

Rob has been sharing a few interesting kernels which are called race to the name of the competition, and many amazing other kernels as well, they discussed about his process of creating them.

They also discussed two of his recent amazing finishes on different competitions: The first is a solo golden finish, on University of Liverpool: Ion Switching competition, as well as a 15th position silver finish on the Trends NeuroImaging Competition.

Links:

Ion Switching Solution Writeup: https://www.kaggle.com/c/liverpool-ion-switching/discussion/153694#861209

Trends NeuroImaging Solution Writeup: https://www.kaggle.com/c/trends-assessment-prediction/discussion/162749

Follow:

Rob Mulla:

https://twitter.com/rob_mulla

https://www.linkedin.com/in/rob-mulla/

https://www.kaggle.com/robikscube

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

#Grandmaster #Solution #Kaggle

Video Version: https://youtu.be/C0O6QfiWc5k

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews the first Kaggle Grandmaster from Bangladesh: Shaikat Galib

Shaikat has done a PhD in nuclear engineering and has just become a competition Grandmaster: as you expect in this episode, they talk all about his journey on and off kaggle.

He's also a data scientist at h2o.ai and they discuss his work along with his 13th position gold winning solution to the Tweet Sentiment Extraction Kaggle Competition

Links:

Tweet Sentiment Extraction, 13th Pos Sol Writeup by. Shaikat: https://www.kaggle.com/c/tweet-sentiment-extraction/discussion/159505

Follow:

Shaikat Galib:

https://www.linkedin.com/in/smg478/

https://www.kaggle.com/sgalib

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Note 1: This episode is a reflection on the past 1 year of running CTDS.Show and results of the Kaggle contest, interviews resume this Sunday. The complete playlist upto September end has been announced on the YouTube page.

Note 2: The show notes will be updated in a few hours from the release to sync with the kernel leaderboard announcement. 

Kaggle Contest Link: https://www.kaggle.com/rohanrao/chai-time-data-science/discussion/156137

Follow:

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Audio (Podcast Version) available here: https://anchor.fm/chaitimedatascience

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews 4x Kaggle Grandmaster and the new King of Discussions and Notebooks: Chris Deotte.

Chris has an amazing, very diverse and very rich background, they connect the dots of his journey his professional journey with data science, they talk about his previous life: How did he transition into data science on kaggle and his journey on kaggle.

Chris at the time of recording has just become a 4x Grandmaster: He's ranked 32 on the

This interview is really a complete overview of Chris's journey on and off Kaggle, his overview of Kaggle.

Links:

More about rapids.ai: https://youtu.be/-WzXIV8P_Jk

Follow:

Chris Deotte:

https://twitter.com/ChrisDeotte

https://www.kaggle.com/cdeotte

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version: https://youtu.be/_5XDjUoQvp4

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews Graduate student and researcher at Carnegie Mellon University: Aman Madaan

Aman has worked across different industries across different machine learning related use cases, which they talk all about in this interview. He's worked on use cases involving applications at large scale and has recently transitioned into academia.

They discuss about his perspective and his perspective changes from that transition.

Aman has also taken the fast ai course, one of his posts from three years ago just became a reality his idea led to people research project about "Politeifying text": Making your text making your text more polite.

They discuss all about this project, and how have the last three years helped make this happen.

Links:

Politeness Transfer: A tag and Generate Approach: https://arxiv.org/pdf/2004.14257

Follow:

Aman Madaan:

https://twitter.com/aman_madaan

https://madaan.github.io

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

#fastai #StyleTransfer #DeepLearning

Video Version: https://www.youtube.com/playlist?list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews Data Scientist at Arion.ai, Kaggle Comp Master: Yifan Xie

They talk about Yifan’s journey into Data Science, kaggle and how his approach to competing and freelancing changed over the years.

They also discuss their team’s Solution to DFDC Comp.

Links:

https://www.kaggle.com/c/deepfake-detection-challenge/discussion/157983

Follow:

Yifan Xie:

Twitter: https://twitter.com/YifanX

Linkedin: https://www.linkedin.com/in/yifanxie/

Kaggle: https://www.kaggle.com/yifanxie

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Video Link: https://youtu.be/LPdbnasJ9wI

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews Computer Vision Researcher at the Oxford VGG Group: Yuki Asano.

They talk all about Yuki's journey into Computer Vision and his research interests, how Yuki approaches research.

They also discuss three of Yuki's recent works and Yuki walks us through the process of how he approached the projects, along with an interesting overview of the same.

Links:

A critical analysis of self-supervision, or what we can learn from a single image: https://arxiv.org/abs/1904.13132

Self-labelling via simultaneous clustering and representation learning: https://arxiv.org/abs/1911.05371

Labelling unlabelled videos from scratch with multi-modal self-supervision: https://arxiv.org/abs/2006.13662

Follow:

Yuki Asano:

https://twitter.com/y_m_asano

https://www.linkedin.com/in/yuki-m-asano/

https://yukimasano.github.io

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Video: https://youtu.be/_--6uAOPEP4

Newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews Parul Pandey for the second time on the series.

They talk all about her journey to becoming Kaggle Kernels Grandmaster, her process of writing the amazing kernels along with a lot of ethical issues around Kaggle.

Previous Interview: https://youtu.be/DjBgB_fNXl0

Follow:

Parul Pandey:

https://www.linkedin.com/in/parulpandeyindia/

https://twitter.com/pandeyparul

https://www.kaggle.com/parulpandey

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

http://chaitimedatascience.com/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version: https://youtu.be/-eU2z8xWpEs

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews three people from the kaggle team: Phil Culliton, who's on the data science team at Kaggle, Maggie Demkin: who's on the customer success and business development team, and Addison Howard, who's a programme manager at Kaggle.

They talk a lot about what happens behind the scenes at kaggle, Including a very interesting Gladiator fight. Please stay tuned! ;)

They talk mainly about what happens from the start to the ending of the competition. How does a competition really come to its life? What happens before that, what happens after that, what happens during the duration, on the other side of the team?

The team also shares many amazing stories, their favourite memories from hosting these competition, their overview of kaggle and the community.

Follow:

Addison Howard:

https://www.linkedin.com/in/addison-howard-3ab25a25/

https://www.kaggle.com/addisonhoward

Maggie Demkin:

https://twitter.com/mdemkin

https://www.linkedin.com/in/mmdemkin/

Phil Culliton:

https://twitter.com/PhilCulliton

https://www.linkedin.com/in/philculliton/

https://www.kaggle.com/philculliton

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

#Kaggle #CTDS #Competition

Video Link: https://youtu.be/qLcBbbYTsSU

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews Kaggle legend, "Raddar": Darius Barušauskas.

They talk about Raddar's journey to becoming Comp Master in ~6 weeks and Comp GM in 1 year. Raddar shares his secrets and advices on how to approach Kaggle problems.

They also discuss his favourite memories, his approach to problems and AI Applied to Medicine.

Follow:

Darius Barušauskas:

https://www.kaggle.com/raddar

https://twitter.com/tweet_raddar

https://www.linkedin.com/in/raddar-in/

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Video: https://youtu.be/Z788bRuemsI

Newsletter: https://tinyletter.com/sanyambhutani

This Episode is an excerpt from Sanyam Bhutani's 3rd interview with Dr. Philipp Singer, Sr. Data Scientist at H2O.ai, Kaggle Comp and Discussions Grandmaster ranked 4 in both tiers.

In this short version, they talk about Philipp's solution to Jigsaw Multilingual Toxic Comment Classification Comp where he ranked 8th and won a Solo-Gold Medal, his second one in the same week!

They talk about the problem statement, TPUs and Philipp's solution.

The complete interview will go out next week, so please stay tuned for that.

Comp Link: https://www.kaggle.com/c/jigsaw-multilingual-toxic-comment-classification

Solution Overview: https://www.kaggle.com/c/jigsaw-multilingual-toxic-comment-classification/discussion/160937

Previous Interviews:

Interview 1: https://www.youtube.com/watch?v=7sh5QrUIAHI

Interview 2: https://www.youtube.com/watch?v=_Srv0bKmfjY

Follow:

Philipp Singer

https://twitter.com/ph_singer

https://www.philippsinger.info/

Sanyam Bhutani: https://twitter.com/bhutanisanyam1

About:

http://chaitimedatascience.com/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every Sunday, Thursday available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Note: We are hosting a 3 week comp to celebrate 1 year anniversary of CTDS. Details: https://www.kaggle.com/rohanrao/chai-time-data-science/tasks?taskId=1183

Video Version: https://youtu.be/Cn97ynuWAiQ

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews, an amazing content creator at Henry AI Labs: Connor Shorten.

Connor is also the host of ML Street Talk Podcast. They talk about his process of creating content, research, how does he summarise the research papers and create very accessible YouTube videos.

Follow:

Connor Shorten:

https://twitter.com/CShorten30

https://www.youtube.com/channel/UCHB9VepY6kYvZjj0Bgxnpbw?sub_confirmation=1

https://www.youtube.com/channel/UCMLtBahI5DMrt0NPvDSoIRQ

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version: https://youtu.be/tq_XcFubgKo

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

Personal Note: A huge thanks to the community for the support with the interview series. This is my 100th interview, it's an honour and the 100th interview had to be with my guru, Dr. Rachel Thomas

In this episode, Sanyam Bhutani interviews co-founder of fast.ai and Director, USF Center for Applied Data Ethics.

This episode covers three broad themes: They talk about top down learning, and what does it take to create a course or material that follows the top down deep teaching approach, as well as ethics and biases.

Rachel answers the question of how can we do better? How can we address this theme better?

They also discuss project building and blogging. This episode really addresses a few very important topics and we hope you all get to learn about Ethics, specially Ethics applied in AI.

Links:

http://course.fast.ai

http://forums.fast.ai

http://fast.ai

Follow:

Rachel Thomas:

https://twitter.com/math_rachel

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

#fastai #Ethics #CTDS.Show

Video Version: https://youtu.be/aC9t9D7HpYE

In this episode, Sanyam Bhutani interviews Kaggle Grandmaster, Chief Data Scientist at H2O.ai: Dmitry Larko.

Dmitry has been active on Kaggle for over 6 years and they discuss how his views on Kaggle, and his journey with Kaggle.

They also discuss about Dmitry's work at H2O.ai, H2O's products and the challenges that Dmitry is working on outside of Kaggle.

Follow:

Dmitry Larko:

https://twitter.com/DmitryLarko

https://www.kaggle.com/dmitrylarko

https://www.linkedin.com/in/dlarko/

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

http://chaitimedatascience.com/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version: https://youtu.be/VeM1T7UaYTk

In this episode, Sanyam Bhutani interviews another amazing Maker and Kaggler from H2O.ai: Dr. Maximilian Jeblick.

Max is a Senior Data Scientist at H2O.ai, Kaggle Comp master and PhD in Mathematical Physics.

They talk about his transition from Physics into Data Science, and they draw many parallels between Physics and Data Science.

They discuss about his experience on Kaggle, his advices on how you can improve on Kaggle and learn from it along with his work at H2O.ai

Follow:

Maximilian Jeblick:

Linkedin: https://www.linkedin.com/in/maximilian-jeblick-170477173/

Kaggle: https://www.kaggle.com/maxjeblick

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

http://chaitimedatascience.com/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version: https://youtu.be/iNZd_5T8tCI

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

Personal Note: It was really a privilege to talk to Andreas on the show, thanks to  Abhishek Thakur  for helping make this happen.

In this episode, Sanyam Bhutani interviews one of the core developers at Scikit-Learn:  Andreas Mueller 

This episode is all about open source and machine learning, They talked about how Andreas' overview about open source and machine learning and Scikit-Learn itself has evolved over the years how his approach to creating open source API's, his understanding of open source has evolved over the years that he's been active in the open source community.

There's a lot of discussion around scikit learn and learning through materials and Andreas' take on the recent developments in deep learning.

We also discuss Andreas' move back to Industry, he'll be joining Microsoft and this interview talks about what's next for him as well.

Follow:

Andreas:

https://twitter.com/amuellerml

https://amueller.github.io

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version: https://youtu.be/2dpaSTWdhSk

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

Note: Correction: At 7:35: Heads or Tails' Kaggle avatar is the spiral galaxy M101, which has the nickname 'Pinwheel galaxy', not 'Whirlpool galaxy'

In this episode, Sanyam Bhutani interviews the First Kernel #GrandMaster on Kaggle: "Heads or Tails": Martin Henze.

In this interview, they talk about his journey into data science, his transition from astronomy.

Astronomy involves a lot of looking up to the skies and trying to figure out through data what's out there, and as you might imagine, many parallels are drawn between astronomy and data science and Martin's approach to creating the amazing kernels.

They also discuss his transition into doing data science during the day.

Personal Note: There are a lot of rich hidden golden advices for people that are working towards sharing their kernels on Kaggle.

Follow:

Martin Henze:

https://twitter.com/heads0rtai1s

https://www.linkedin.com/in/martin-henze/

http://kaggle.com/headsortails

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Note: The giveaway isn't sponsored, I really enjoyed the book and want to share it with another learner who might.

#MachineLearning #Production #Applications

Video Version: https://youtu.be/n_IUOeiKwnE

In this episode, Sanyam Bhutani interviews Kaggle Grandmaster and Data Scientist at H2O.ai: Yauhen Babakhin.

They talk about Yauhen's roots in Belarus and some secrets of his and his approaches to Kaggle competition and his approach to auto ML.

They discuss a lot about how Yauhen approach these problems, how he finds ideas and how he iterated upon them. They also covered an interesting area that Yauhen has contributed to via Kaggle which is academia.

Links:

Interview by Parul Pandey: https://www.h2o.ai/blog/meet-yauhen-the-first-and-the-only-kaggle-grandmaster-from-belarus/

Paper: https://arxiv.org/pdf/1904.04445.pdf

Yauhen's talk from H2O World: https://youtu.be/gRraEabTX3o

Blog version: https://www.h2o.ai/blog/image-tasks-on-h2o-driverless-ai/

Follow:

Yauhen Babakhin:

Linkedin: https://www.linkedin.com/in/yauhenbabakhin/

Kaggle: https://www.kaggle.com/ybabakhin

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

http://chaitimedatascience.com/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

Flow by LiQWYD https://soundcloud.com/liqwyd

Check out the CTDS.News Teaser, live now: http://ctds.news

Blog for this video and news launch will go live here: https://medium.com/@init_27

This is a special birthday AMA episode, hope you enjoy this one. Feel free to AMA in the comments below.

I'm really thankful to everyone that sent their questions and wishes and agreed to this idea. Thank you!

Follow:

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Note: The giveaway isn't sponsored, I really enjoyed the book and want to share it with another learner who might.

#Birthday #AMA #ML

Link to tweet for details on Giveaway: https://twitter.com/bhutanisanyam1/status/1264589958146174976?s=20

Video Version: https://youtu.be/ctss0hcD9SE

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews Emmanuel Ameisen, ML engineer at Stripe, and the author of the O'Reilly book: "Building Machine Learning Powered Applications: Going from idea to product"

In this interview they talk about Emmanuel's journey into machine learning, and how his journey through the different roles led him to writing the book.

The book is one of the greatest resources for the title for Building ML Apps, and also one of the greatest top down learning books that follow the top down teaching approach.

They talk about who the book is a really for, what can you expect out of it and Emanuel's journey of writing to Book and where to go after you've read the book, How do you find your idea to take to project your passion project or your million dollar app idea.

Links:

Book: https://www.amazon.com/Building-Machine-Learning-Powered-Applications/dp/149204511X/

http://shop.oreilly.com/product/0636920215912.do

Radek's blog: https://medium.com/@radekosmulski

Follow:

Emmanuel Ameisen:

https://twitter.com/mlpowered

https://mlpowered.com

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Note: The giveaway isn't sponsored, I really enjoyed the book and want to share it with another learner who might.

Link to tweet for details on Giveaway: https://twitter.com/bhutanisanyam1/status/1263500914427494400?s=20

Discount code: "PodChai20"

Video Version: https://youtu.be/f5Qv3eSZpug

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews three great contributors to PyTorch: Eli Stevens, Luca Antiga, and Thomas Viehmann.

The three are also authors of an upcoming book by Manning Publications: Deep learning with Pytorch

In this interview, they talk about the authors' journey into machine learning and the journey with Pytorch towards the efforts into writing the book.

They also discuss the book writing efforts, the authors share what can one expect from the book and what are you expected to have prepared before learning from the book and what can you take away from it.

There is also a lot of great advice around project building, which is, is one of the essence to getting your break into the field.

Links:

Link to the book: https://www.manning.com/books/deep-learning-with-pytorch

PyTorch: https://pytorch.org

Follow:

Eli Stevens:

https://www.linkedin.com/in/eli0stevens/

Luca Antiga:

https://twitter.com/lantiga?lang=en

https://lantiga.github.io

Thomas Viehmann:

https://twitter.com/thomasviehmann

http://thomas.viehmann.net

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Note: Thanks to Manning Publication for doing the giveaway, note that manning hasn't sponsored the video in anyway, I'm a huge fan of their book and I'm grateful that they're doing a special giveaway + discount for the CTDS.Show audience

#MachineLearning #PyTorch #Book

Video Version: https://youtu.be/VqysJmIqko8

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews Goku Mohandas.

They dive into the three aspects on Goku's personal profile: AI research. Health Care and Education

They start by talking about Goku's journey into research how he got interested into machine learning. He shares many amazing advices for future aspiring researchers, followed by healthcare and machine learning.

Education: Goku has recently started madewithmachinelearning.com his latest contribution to education machine learning education, Made with ML is a platform for discovering projects. organising projects and building projects, sharing them with the community. We really dive deep into what the platform is the philosophy behind it, and the future of it, and many upcoming features. Most of these would have been integrated by the time this interview goes out. So please do sign up if you get a chance.

Personal Note: I really enjoyed talking with Goku, all of the interaction on all of the topics had really interesting golden nuggets.

Follow:

Goku Mohandas:

https://twitter.com/GokuMohandas

https://madewithml.com

https://goku.me

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Video version: https://youtu.be/pQL892iT-dM

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews Kaggle Grandmaster Dmitry Danevskiy.

Dmitry's team whose team at the time of recording had just finished first on the Google quest q&a labeling Kaggle competition.

With that gold medal Dmitry just achieved the title of becoming a Grand Master in the competition tier. They speak about his journey on Kaggle and into data science on this episode along with their first position solution to the Google quest competition.

Dmitry is currently working as a machine learning specialist or machine learning research engineer they also discuss about his work, how Kaggle has impacted his work and his take on where does Kaggle help you in data science?

Links:

Winning sol writeup: https://www.kaggle.com/c/google-quest-challenge/discussion/129840

Comp: https://www.kaggle.com/c/google-quest-challenge/overview

Interview with Yury about mlcourse: https://www.youtube.com/watch?v=guvFOjxdeeA

Follow:

Dmytro Danevskyi:

https://twitter.com/DanevskiyD

https://www.linkedin.com/in/dmitry-danevskiy/

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version: https://youtu.be/-pYMXSThpvc

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews, Hamel Husain, who's currently a staff ML engineer at GitHub.

They talk all about the open source world and his life behind the open source world at GitHub, the projects that he's been working on and his journey into the field of machine learning: his research ideas and the projects that he's been working on at GitHub.

They also talk about fast AI, his journey with fast ai, and his best advice is to student along with his recent project, so to speak, fast pages, which is one of the best ways to get started with blogging.

This interview has many hidden advices around open source and fast a or even data science so to speak.

Links:

fast.ai: https://course.fast.ai

Fastpages: https://github.com/fastai/fastpages

http://hamel.io

Semantic Code Search: https://medium.com/@hamelhusain/semantic-code-search-3cd6d244a39c

Follow:

Hamel Husain:

https://twitter.com/HamelHusain

http://hamel.io

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Video version: https://youtu.be/CYYvQ-5V3xA

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Robert Bracco and Sanyam Bhutani are in conversation where they discuss their approach learning to learn, as you might imagine, they talk a lot about the fast AI courses and how their approach to learning to learning has evolved as we have approved the materials.

Robert has been working on the fast.ai, the fast AI audio module, the unofficial audio module, and Sanyam discuss his his journey in that direction, how have his learnings evolved?

Links:

Previous Interview: https://www.youtube.com/watch?v=k-gZAyg5ib8

fast.ai courses: https://course.fast.ai

Follow:

Robbert Bracco: https://twitter.com/madeupmasters

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version: https://youtu.be/muiM5SQxTIA

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews Dr. Pablo Samuel Castro, who's currently a staff research software developer at Google and is working with the Google brain team in Montreal with a focus on reinforcement learning and machine learning applied to music and creativity.

They talk all about these themes in this interview reinforcement learning and using AI in creative domains. Pablo is a musician himself and they discuss his overview on using AI to replace or enhance human creativity in domains outside of technical focus.

They also discuss how does Pablo approach research problems his take on research and and his pipeline, or approach to working on new problems:

Personal Note: This interview definitely has a lot of interesting pieces of advice around approaching research problems IMO & I hope you find it fascinating.

Follow:

PSC:

https://twitter.com/pcastr

https://www.linkedin.com/in/pablo-samuel-castro-2113641b

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version: https://youtu.be/r5_SuLF5UWY

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews Daniel Bourke who has had a very interesting journey into the field: he created his own AI curriculum that he followed very rigorously, religiously and with a lot of discipline.

Daniel has also been running a YouTube channel where he's been posting about his journey of doing online courses. We talk all about his wonderful journey, how he kept the discipline that he required to throughout this why throughout this period, and why did he decide to create content.

We also talk about one very important thing, nutrition, fitness and health. Daniel is an expert on this, if I may, we he shares his advice on how to balance this lifestyle of being ambitious and machine learning machine learning, pushing your goals becoming a better machine learning practitioner or a data scientist while also taking care of your health.

Follow:

Daniel Bourke:

https://twitter.com/mrdbourke

Blog: https://www.mrdbourke.com

YT: https://www.youtube.com/channel/UCr8O8l5cCX85Oem1d18EezQ

https://www.mrdbourke.com/mlcourse/

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version: https://youtu.be/C5DGFSDlMBM

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews a machine learning hero who's been inspiring and empowering many, many future heroes through their open source work: Ines Montani, co founder of explosion, the company behind spacy, prodigy and thinc.ai.

They talk about all of the amazing work that is, and the team at explosion has been doing, her journey into the field of programming her journey into the field of NLP and her journey at explosion.

They talk about all these things, all these three things along with all of the amazing work that Explosion has been putting out. Yes, Spacy, prodigy and thinc.ai, thinc,ai is the latest framework that has been put out along with open source development and the NLP industry.

Personal Note: Yes, those are a lot of things that have been All (Luckily for us), been covered in this single podcast! This has been a treat for me & I hope you enjoy it as much as I did.

Links:

https://explosion.ai/about

https://spacy.io

https://prodi.gy

https://thinc.ai

Follow:

Ines Montani:

https://twitter.com/_inesmontani

https://www.linkedin.com/in/inesmontani/

https://ines.io

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version: https://youtu.be/TzgHNJN8D3I

Subscribe to the newsletter for updates: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews Suzana Ilić who's currently a PhD student in the domain of NLP and also the co founder and director of Machine Learning Tokyo.

In this interview they discuss about Suzana's journey into machine learning and how she discovered her passion for machine learning and NLP. They also discuss all about her efforts to democratize AI through her awesome community efforts & about Machine Learning Tokyo community.

How community building can help you take away many skill sets or personal growth aspects: Suzana shares her journey as the co founder of Machine Learning Tokyo.

They discuss an important topic, about inclusivity in AI in community. Fostering an environment that encourages beginners while also being inclusive to a huge extent. Machine learning Tokyo has been a platform for open science, open education and open project development discuss about all of these three aspects including the projects, research, and education that has come out of it.

Follow:

Suzana Ilić:

https://twitter.com/suzatweet

https://www.linkedin.com/in/suzanailic/

https://github.com/suzana-ilic

Machine Learning Tokyo:

https://www.meetup.com/Machine-Learning-Tokyo/

https://mltokyo.ai

https://github.com/Machine-Learning-Tokyo

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version: https://youtu.be/eEYvgsUeEgw

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews founder and CEO at decision.ai: Dan Becker, you might know Dan as the creator of Kaggle learn where he enabled, or actually democratised a lot of machine learning courses that he created on kaggle.com/learn.

In this episode, they talk all about Dan's journey into the field. Dan's work at Kaggle, where he created Kaggle learn. They talk a lot about MOOCs: open online courses. What does it take to become a data scientist? And how can MOOCs come into the picture for you? How can you think of ideas or projects that can help you build a portfolio?

They also talk about Dan's new venture: decision.ai, which he's just recently started, Dan already has been a contributor to Keras and TensorFlow and has done projects, consulting projects for six companies in the Fortune 100 list of companies. They of course, talk about how that was helpful in Dan's new journey.

Links:

https://decision.ai/example

https://decision.ai

https://www.kaggle.com/learn/overview

Follow:

Dan Becker:

[email protected]

https://www.linkedin.com/in/dansbecker/

https://twitter.com/dan_s_becker

https://www.kaggle.com/dansbecker

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Chai Time Data Science Playlist: https://www.youtube.com/playlist?list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x

Audio (Podcast Version) available here: https://anchor.fm/chaitimedatascience

In this episode, Sanyam Bhutani interviews legendary Kaggle GrandMaster: Mark Landry.

They talk all about Mark's journey into machine learning:

How he got interested in machine learning? How did he discover Kaggle? His addiction for Kaggle? How his approach on Kaggle has evolved over all of these years that he's been active on the platform?

They talked about his journey at h2o: he's been at h2o.ai for a few years now. They also talk about auto ML, we reveal interesting story: AutoML at h2o.ai was originally called AutoMarkLandry. And there's a lot of discussion around data science on and off Kaggle, how to approach Kaggle or data science problems.

This one is all about data science, Kaggle, and h2o.ai but it's true to the three words, they talk all about these three words and Mark's journey in all of these three.

Follow:

Mark Landry:

https://twitter.com/mark_a_landry

https://www.linkedin.com/in/mark-landry-78b863a/

https://www.kaggle.com/mlandry

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

http://chaitimedatascience.com/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version: https://youtu.be/lWwkbiufwNE

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews Dmytro Mishkin, who's currently a computer vision researcher and PhD student at the Czech Technical University in Prague.

They talk all about Dmytro, his journey into deep learning and his journey into research. Dmytro has put out some amazing research work over the past few years, and they talk about how he approaches research in general, his take on research and his suggestion to future aspiring researchers.

Dymtro is an active Kaggler and he has accomplished amazing results on many competitions/ This interview covers a lot of ideas around education, research, and practice.

Follow:

Dmytro Mishkin:

https://twitter.com/ducha_aiki

http://cmp.felk.cvut.cz/~mishkdmy/

https://www.kaggle.com/oldufo

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Video available here: https://www.youtube.com/playlist?list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this special version of the podcast, Sanyam Bhutani is in conversation with the complete SharpestMinds team: Edouard Harris, Russell Pollari and Jeremie Harris.

They talk a lot about learning to learn. The theme, broadly speaking, learning to learn applied to the business, the startup and the data science world.

They discuss multiple ideas of how to get a break into the data science field, how should you go about learning.

How should you go about putting projects on your resume of what projects to put on your resume and when you really know that you're ready for a job?

Links:

Interview with Ed: https://www.youtube.com/watch?v=69urmSt34Ac

SharpestMinds: https://www.sharpestminds.com

https://twitter.com/sharpestmindsai?lang=en

https://www.linkedin.com/company/sharpestminds/

Follow:

Edouard Harris:

https://twitter.com/neutronsNeurons

https://medium.com/@edouard_harris

Russell Pollari:

https://twitter.com/russ_poll

https://www.linkedin.com/in/russell-pollari-b555895a

https://russellpollari.com

Jeremie Harris:

https://twitter.com/jeremiecharris

https://www.linkedin.com/in/jeremieharris

https://medium.com/@jeremie_sharpestminds

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Previous Interview: https://hackernoon.com/interview-with-deep-learning-researcher-at-fast-ai-sylvain-gugger-7cb08fe2ff53

Video available here: https://youtu.be/-3fw9hxiop0

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews another hero from the fastai family: Sylvain who's a research scientist at fast.ai

In this interview they talk about a lot of exciting, upcoming developments from the fast.ai research lab, the framework, the book and the upcoming course.

The upcoming course will be released along with the book and the library as a MOOC later, around the middle of this year.

They discuss about what we can expect from the library, the course and the book. The efforts go into these and what topics is the book and the course going to cover is the newer version.

Links:

Fast.ai Course:

https://course.fast.ai

https://twitter.com/fastdotai

Book: http://shop.oreilly.com/product/0636920216391.do

https://www.amazon.com/Deep-Learning-Coders-fastai-PyTorch/dp/1492045527

Interview with Jeremy Howard: https://www.youtube.com/watch?v=205j37G1cxw

Follow:

Sylvain Gugger:

https://twitter.com/guggersylvain

https://sgugger.github.io/pages/about-me.html

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Note: Correction from the intro: Erin is the *co-founder* of R-Ladies Global & Founder of WiMLDS.

Chai Time Data Science Playlist: https://www.youtube.com/playlist?list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x

In this episode, Sanyam Bhutani interviews one of the inspirations for the complete Machine Learning Community: Dr. Erin Ledell, chief machine learning scientist at H2O.ai.

Erin holds a PhD from UC Berkeley where her research was focused on machine learning and computational stats, and she has worked in the software industry before joining H2O.

They talk all about her journey into the field into starts machine learning and her journey at H2O along with h2o's open source products, h2o-auto ML.

Erin clarifies the question of the difference between h2o, h2o-3 and h2o auto ML, so please stay tuned if you're curious to find out the answer to that.

They discuss about her work at h2o.ai and Erin shares many great advisors and opinions about auto ML and software or software tools for data scientists or humans generally speaking,

Erin is the (co)-founder of Rladies and women in machine learning and data science. They talk about her contributions to the community and how can outsiders or just newcomers contribute to this.

Links:

http://wimlds.org

https://rladies.org

H2O:

https://www.h2o.ai

H2O Tutorials: http://docs.h2o.ai/h2o-tutorials/latest-stable/

https://github.com/h2oai/h2o-3

Follow:

Erin LeDell:

https://twitter.com/ledell

https://www.linkedin.com/in/erin-ledell/

https://github.com/ledell

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

http://chaitimedatascience.com/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

Flow by LiQWYD https://soundcloud.com/liqwyd

Video available here: https://youtu.be/akYeBUTXmT4

Subscribe to the newsletter for updates: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews Dr. Russ Wolfinger, Director of scientific discovery and genomics at SAS, a department which he had started.

In this interview, they talk all about his journey into the field, how his Stats and software development evolved over the years.

Russ is also kaggle Grandmaster in the competition tier. They talk a lot about kaggle. His approach to kaggle his his viewpoints on kaggle, and best advice is to new big new joiners/beginners.

This interview is an amazing intersection of statistics, data science and data science applied to kaggle and the real world. We also talk a lot about kaggle as a platform for learning data science and applying your skills how to get better at kaggle and data science broadly speaking. So thank you to Russ for sharing all of those amazing advises!

Follow:

Dr. Russ Wolfinger:

https://www.linkedin.com/in/russ-wolfinger-5ab7999/

https://www.kaggle.com/sasrdw

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Audio (Podcast Version) available here: https://anchor.fm/chaitimedatascience

Subscribe to the newsletter for updates: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews a researcher, practitioner and open source contributor: Sergey Kolesnikov, creator of catalyst, which is a deep learning and reinforcement learning framework based on Pytorch.

In this interview, they talk all about Sergey's journey into the field of machine learning and reinforcement learning. His thoughts about open source development and the story of catalyst, how the development of catalyst started the story behind it, and its current features, the ecosystem. And what all can it support.

They also talk a lot about the community in machine learning open data science community as well. Sergey shares many great advices about software engineering and open source development as well.

Follow:

Sergey Kolesnikov

https://twitter.com/scitator?lang=en

https://t.co/ahXByAInFI?amp=1

Catalyst:

https://twitter.com/catalyst_core

https://github.com/catalyst-team/catalyst

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Video available here: https://youtu.be/OoB_LQpgDCk

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews a data scientist, but from the other side of the world, a data scientist at Kaggle, Walter Reade, also known as "Inversion" famously on Kaggle.

Walter, was the first Kaggle discussions Grand Master. In this interview, they talk all about his journey into data science and on Kaggle how his journey into data science started via Kaggle.

Walter holds a PhD in chemical engineering. This interview also talks a lot about the science in data science, how Walter has approached problems over the years. And also what does data science on the other side of Kaggle.

Personal Note: I feel this is a very special interview in the sense that this time it's a Kaggle Grand Master that is a part of Kaggle's team.

Follow:

Walter Reade:

https://twitter.com/walterreade

https://www.linkedin.com/in/reade/

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Chai Time Data Science Playlist: https://www.youtube.com/playlist?list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x

In this episode, Sanyam Bhutani interviews Parul Pandey, data evangelist at h2o.ai and they talk all about what her role as a data evangelist means and her work at h2o.

Personal Note: I've been a fan of her blog posts. And this podcast is all about her secrets to blogging along with all of the amazing things that she's been contributing to including meetups evangelising, or sharing amazing things on LinkedIn and Twitter.

They discuss all about her journey into the field. Her advices to future aspirants.

Parul is a great contributor to the women in Data Science community, and they discuss about WiDS and how can others who recognize the community, contribute towards it.

Follow:

Parul Pandey:

https://www.linkedin.com/in/parulpandeyindia/?originalSubdomain=in

https://twitter.com/pandeyparul

https://t.co/qyR0tpZVnA?amp=1

WiDS Hyderabad:

https://twitter.com/WiMLDS_HYD

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

http://chaitimedatascience.com/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

Flow by LiQWYD https://soundcloud.com/liqwyd

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews Kaggle Grandmaster, "Dieter": Christof Henkel.

They talk a lot about his previous assumed life of having worked as a construction worker, about Christof's Kaggle experience how he got interested in Kaggle, his Kaggle journey, his Kaggle pipeline, and his recent second position solution to Google's quest competition.

They also discuss Christof's new job at rapids.ai where he's just joined as a senior deep learning data scientist.

Links:

https://rapids.ai

https://github.com/rapidsai

https://www.kaggle.com/c/google-quest-challenge/discussion/129978

Referenced Interviews:

The Zoo: https://youtu.be/_Srv0bKmfjY

Even Oldridge: https://youtu.be/-WzXIV8P_Jk

Follow:

Christof Henkel:

https://twitter.com/kagglingdieter

https://www.linkedin.com/in/dr-christof-henkel-766a54ba/

https://www.kaggle.com/christofhenkel

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Chai Time Data Science Playlist: https://www.youtube.com/playlist?list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x

In this episode, Sanyam Bhutani interviews Kaggle Master & Senior Data Scientist: John Miller

John Miller is one of the peoples similar from the league of guests on the show who started working in data science, even before it was called data science. And in this interview, they talk about his journey and how data science and his work has evolved.

Over the years, John has contributed to different roles. And they talk about all of them, including his current work at h2o.ai.

They also discussed his winning solution to the NFL first and future analytics Kaggle competition, where John had even created a real world impact via Kaggle competition, yes, via Kaggle competition even in the previous year where he had won the competition and his findings led to the change of a rule.

Similar to last year, John has again won the competition this year as well. And they talked about his findings about the NFL and his discoveries while working on the competition.

Links:

https://www.kaggle.com/jpmiller/nfl-1standfuture-report

https://www.linkedin.com/pulse/would-your-machine-learning-model-hold-up-court-john-miller/

https://www.kaggle.com/c/nfl-playing-surface-analytics/discussion/126164

https://www.kaggle.com/c/nfl-playing-surface-analytics/discussion/125977

Follow:

John Miller:

https://twitter.com/johnmillertx

https://www.linkedin.com/in/johnmiller/

https://www.kaggle.com/jpmiller

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

http://chaitimedatascience.com/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

Flow by LiQWYD https://soundcloud.com/liqwyd

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews Dr. Tarin Clanuwat, who's currently an assistant professor at the National Institute of Informatics in Japan.

Tarin holds a PhD in Japanese literature and has followed-a traditional path in classical Japanese literature.

Tarin has been doing some amazing research around Japanese literature including her work on Kuzushiji, they talk all about her background, her journey in classical literature and her journey in machine learning and her current research which is in the intersection of both.

Links:

https://www.youtube.com/watch?v=maR9ibJ2r7g

https://www.kaggle.com/c/kuzushiji-recognition

https://scholar.google.com/citations?user=oGpFVUUAAAAJ&hl=en

Follow:

Tarin:

https://twitter.com/tkasasagi/

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

About:

http://chaitimedatascience.com/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every Sunday, Thursday available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

This episode is an introduction to the Mini-Chai Time Data Science series, about fast.ai summaries from Part 1, 2019 and a collection of things Jeremy Howard says to do.

About:

The motivation behind the 3-4 min video/audio summaries is to allow our fellow fast.ai family members to review the lectures from Part 1, 2019 and "Things Jeremy Says to do" in a 3 min format.

Jeremy Howard, mentions many pearls of wisdom that Many Thanks to Robert Bracco, Author of "Things Jeremy Howard says to do" are now also available in this format.

Reminder Note: This series is not a replacement in any format for the fast.ai lectures. It's supposed to act as supplementary material for the course.

Links:

Take the course here: https://course.fast.ai

Things Jeremy Says to do thread: https://forums.fast.ai/t/things-jeremy-says-to-do/36682

Follow:

fast.ai: http://twitter.com/fastdotai

Jeremy Howard: http://twitter.com/jeremyphoward

Robbert Bracco: https://twitter.com/MadeUpMasters

Sanyam Bhutani: http://twitter.com/bhutanisanyam1

This episode reviews Lesson 3 from fast.ai Part 1, 2019 and the Things Jeremy says to do

About:

The motivation behind the 3-4 min video/audio summaries is to allow our fellow fast.ai family members to review the lectures from Part 1, 2019 and "Things Jeremy Says to do" in a 3 min format.

Jeremy Howard, mentions many pearls of wisdom that Many Thanks to Robert Bracco, Author of "Things Jeremy Howard says to do" are now also available in this format.

Reminder Note: This series is not a replacement in any format for the fast.ai lectures. It's supposed to act as supplementary material for the course.

Links:

Take the course here: https://course.fast.ai

Things Jeremy Says to do thread: https://forums.fast.ai/t/things-jeremy-says-to-do/36682

Follow:

fast.ai: http://twitter.com/fastdotai

Jeremy Howard: http://twitter.com/jeremyphoward

Robbert Bracco: https://twitter.com/MadeUpMasters

Sanyam Bhutani: http://twitter.com/bhutanisanyam1

This episode reviews lesson 2 from fast.ai Part 1, 2019 and the Things Jeremy says to do

About:

The motivation behind the 3-4 min video/audio summaries is to allow our fellow fast.ai family members to review the lectures from Part 1, 2019 and "Things Jeremy Says to do" in a 3 min format.

Jeremy Howard, mentions many pearls of wisdom that Many Thanks to Robert Bracco, Author of "Things Jeremy Howard says to do" are now also available in this format.

Reminder Note: This series is not a replacement in any format for the fast.ai lectures. It's supposed to act as supplementary material for the course.

Links:

Take the course here: https://course.fast.ai

Things Jeremy Says to do thread: https://forums.fast.ai/t/things-jeremy-says-to-do/36682

Follow:

fast.ai: http://twitter.com/fastdotai

Jeremy Howard: http://twitter.com/jeremyphoward

Robbert Bracco: https://twitter.com/MadeUpMasters

Sanyam Bhutani: http://twitter.com/bhutanisanyam1

This episode reviews Lesson 4 from fast.ai Part 1, 2019 and the Things Jeremy says to do

About:

The motivation behind the 3-4 min video/audio summaries is to allow our fellow fast.ai family members to review the lectures from Part 1, 2019 and "Things Jeremy Says to do" in a 3 min format.

Jeremy Howard, mentions many pearls of wisdom that Many Thanks to Robert Bracco, Author of "Things Jeremy Howard says to do" are now also available in this format.

Reminder Note: This series is not a replacement in any format for the fast.ai lectures. It's supposed to act as supplementary material for the course.

Links:

Take the course here: https://course.fast.ai

Things Jeremy Says to do thread: https://forums.fast.ai/t/things-jeremy-says-to-do/36682

Follow:

fast.ai: http://twitter.com/fastdotai

Jeremy Howard: http://twitter.com/jeremyphoward

Robbert Bracco: https://twitter.com/MadeUpMasters

Sanyam Bhutani: http://twitter.com/bhutanisanyam1

This episode reviews Lesson 5 from fast.ai Part 1, 2019 and the Things Jeremy says to do

About:

The motivation behind the 3-4 min video/audio summaries is to allow our fellow fast.ai family members to review the lectures from Part 1, 2019 and "Things Jeremy Says to do" in a 3 min format.

Jeremy Howard, mentions many pearls of wisdom that Many Thanks to Robert Bracco, Author of "Things Jeremy Howard says to do" are now also available in this format.

Reminder Note: This series is not a replacement in any format for the fast.ai lectures. It's supposed to act as supplementary material for the course.

Links:

Take the course here: https://course.fast.ai

Things Jeremy Says to do thread: https://forums.fast.ai/t/things-jeremy-says-to-do/36682

Follow:

fast.ai: http://twitter.com/fastdotai

Jeremy Howard: http://twitter.com/jeremyphoward

Robbert Bracco: https://twitter.com/MadeUpMasters

Sanyam Bhutani: http://twitter.com/bhutanisanyam1

This episode reviews Lesson 6 from fast.ai Part 1, 2019 and the Things Jeremy says to do

About:

The motivation behind the 3-4 min video/audio summaries is to allow our fellow fast.ai family members to review the lectures from Part 1, 2019 and "Things Jeremy Says to do" in a 3 min format.

Jeremy Howard, mentions many pearls of wisdom that Many Thanks to Robert Bracco, Author of "Things Jeremy Howard says to do" are now also available in this format.

Reminder Note: This series is not a replacement in any format for the fast.ai lectures. It's supposed to act as supplementary material for the course.

Links:

Take the course here: https://course.fast.ai

Things Jeremy Says to do thread: https://forums.fast.ai/t/things-jeremy-says-to-do/36682

Follow:

fast.ai: http://twitter.com/fastdotai

Jeremy Howard: http://twitter.com/jeremyphoward

Robbert Bracco: https://twitter.com/MadeUpMasters

Sanyam Bhutani: http://twitter.com/bhutanisanyam1

This episode reviews Lesson 7 from fast.ai Part 1, 2019 and the Things Jeremy says to do

About:

The motivation behind the 3-4 min video/audio summaries is to allow our fellow fast.ai family members to review the lectures from Part 1, 2019 and "Things Jeremy Says to do" in a 3 min format.

Jeremy Howard, mentions many pearls of wisdom that Many Thanks to Robert Bracco, Author of "Things Jeremy Howard says to do" are now also available in this format.

Reminder Note: This series is not a replacement in any format for the fast.ai lectures. It's supposed to act as supplementary material for the course.

Links:

Take the course here: https://course.fast.ai

Things Jeremy Says to do thread: https://forums.fast.ai/t/things-jeremy-says-to-do/36682

Follow:

fast.ai: http://twitter.com/fastdotai

Jeremy Howard: http://twitter.com/jeremyphoward

Robbert Bracco: https://twitter.com/MadeUpMasters

Sanyam Bhutani: http://twitter.com/bhutanisanyam1

This episode reviews Lesson 8 from fast.ai Part 1, 2019 and the Things Jeremy says to do

About:

The motivation behind the 3-4 min video/audio summaries is to allow our fellow fast.ai family members to review the lectures from Part 1, 2019 and "Things Jeremy Says to do" in a 3 min format.

Jeremy Howard, mentions many pearls of wisdom that Many Thanks to Robert Bracco, Author of "Things Jeremy Howard says to do" are now also available in this format.

Reminder Note: This series is not a replacement in any format for the fast.ai lectures. It's supposed to act as supplementary material for the course.

Links:

Take the course here: https://course.fast.ai

Things Jeremy Says to do thread: https://forums.fast.ai/t/things-jeremy-says-to-do/36682

Follow:

fast.ai: http://twitter.com/fastdotai

Jeremy Howard: http://twitter.com/jeremyphoward

Robbert Bracco: https://twitter.com/MadeUpMasters

Sanyam Bhutani: http://twitter.com/bhutanisanyam1

This episode summarises Lesson 1: Image Classification from fast.ai Part-1 along with the things Jeremy says to do.

About:

The motivation behind the 3-4 min video/audio summaries is to allow our fellow fast.ai family members to review the lectures from Part 1, 2019 and "Things Jeremy Says to do" in a 3 min format.

Jeremy Howard, mentions many pearls of wisdom that Many Thanks to Robert Bracco, Author of "Things Jeremy Howard says to do" are now also available in this format.

Reminder Note: This series is not a replacement in any format for the fast.ai lectures. It's supposed to act as supplementary material for the course.

Links:

Take the course here: https://course.fast.ai

Things Jeremy Says to do thread: https://forums.fast.ai/t/things-jeremy-says-to-do/36682

Follow:

fast.ai: http://twitter.com/fastdotai

Jeremy Howard: http://twitter.com/jeremyphoward

Robbert Bracco: https://twitter.com/MadeUpMasters

Sanyam Bhutani: http://twitter.com/bhutanisanyam1

Previous Interview Link: https://sanyambhutani.com/interview-with-kaggle-competitions-grandmaster--kazanova--rank--3---dr--marios-michailidis/

Chai Time Data Science Playlist: https://www.youtube.com/playlist?list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x

In this episode, Sanyam Bhutani interviews Kaggle Legend, GM: Marios where they continue talking a lot about Kaggle and how Kaggle has helped Marios in his data science journey, and his data science work at H2O.ai, all about the projects where he is contributing to.

They also discuss his recent gold winning solution to the data science bowl 2019 competition, the approaches shared by Marios are applied, even generally, outside of that competition.

They also touch upon a very important topic that isn't discussed as much on this podcast, the personal side of things, and the personal sacrifices it takes to really become the best become the best in the world become the best on Kaggle, like the sacrifices it took Marios to become number one on Kaggle both in competitions and discussions.

Links:

Solution by Marios' team: https://www.kaggle.com/c/data-science-bowl-2019/discussion/127221

DSB 2019 Competition: https://www.kaggle.com/c/data-science-bowl-2019/overview

H2O blog: https://www.h2o.ai/blog

Driverless AI: https://www.h2o.ai/products/h2o-driverless-ai/

Follow:

Marios Michailidis:

https://twitter.com/stacknet_?lang=en

https://www.linkedin.com/in/mariosmichailidis/

https://www.kaggle.com/kazanova

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

http://chaitimedatascience.com/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

Flow by LiQWYD https://soundcloud.com/liqwyd

Video version available here: https://youtu.be/4h41v07bYYI

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews a machine learning hero to the complete fast.ai: Radek Osmulski.

Personal Note: I think this is one of the most honest, and the best interviews in terms of the transparent Kaggle, learning to learn, and how to approach machine learning problems or machine learning materials advice.

Radek shares his journey with complete honesty about how he went about learning the fast.ai materials, how he went on to smashing the kaggle competitions that he participated in, and his journey on learning to learn about all of the materials fast.ai and beyond in the machine learning world.

They also talk a lot about learning to learn fast ai, and Kaggle all three together and individually as well.

Follow:

Radek:

https://twitter.com/radekosmulski

https://medium.com/@radekosmulski

https://www.kaggle.com/radek1

https://www.linkedin.com/in/radek-osmulski-6b935794/?originalSubdomain=pl

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

About:

http://chaitimedatascience.com/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every Sunday, Thursday available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Chai Time Data Science Playlist: https://www.youtube.com/playlist?list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x

In this episode, Sanyam Bhutani interviews Dr. Ashrith, Chief Security Scientist at H2O.ai

As you can guess, they talk all about cybersecurity and AI, AI broadly speaking in this episode. Ashrith has a background in cyber security and has done a lot of interesting research in the field, he's also currently doing applied research at H2O.ai.

This is a first on this podcast series: They discuss about cybersecurity generally speaking, and its applications in AI, including anti money laundering and the applications that H2O is working on in the cybersecurity domain.

Links:

Webinars: https://www.h2o.ai/webinars/

H2O blog: https://www.h2o.ai/blog

Driverless AI: https://www.h2o.ai/products/h2o-driverless-ai/

Follow:

Ashrith Barthur:

https://twitter.com/cyberbaggage

https://www.linkedin.com/in/abarthur/

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

http://chaitimedatascience.com/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version available here: https://youtu.be/beSLA-wO2T4

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews Dr. Sebastian Raschka, currently an assistant professor of Statistics at University of Wisconsin, Madison and the Author of Python for machine learning book.

Sebastian has a background in biology and holds a PhD in quantitative biology, biochemistry, and molecular biology.

In this interview, they talk all about his journey into the intersection of biology, machine learning, statistics, open source, and machine learning research. Yes, these are all of the topics that Sebastian is currently involved in.

They also talk about his journey with writing the book and also discuss the his current research interests and his research efforts.

They talk about another area that Sebastian is also active in, which is open source. Sebastian is an assistant professor at UW but he shares advices that apply to any student at university or otherwise in the field of machine learning looking to learn anything.

Links:

Python for ML Book: https://sebastianraschka.com/books.html#python-machine-learning-3rd-edition

Research: https://scholar.google.com/citations?user=X4RCC0IAAAAJ&hl=en

Follow:

Sebastian Raschka:

https://twitter.com/rasbt

https://github.com/rasbt

https://www.linkedin.com/in/sebastianraschka/

https://sebastianraschka.com

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

About:

http://chaitimedatascience.com/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every Sunday, Thursday available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Chai Time Data Science Playlist: https://www.youtube.com/playlist?list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x

In this episode, Sanyam Bhutani interviews Navdeep Gill: Senior Data Scientist and Software Engineer at H2O.ai.

In this interview, they talk all about the intersection of these two fields: data science and software engineering, best practices for both data science and software engineering and how much of software engineering skills should our data scientists really know, is the question that they also discuss in this interview.

They talk all about Navdeep's journey into machine learning, machine learning interpretability and his journey at H2O.ai.

They also talk a lot about machine learning interpretability, Navdeep's thoughts on it, as well as MLI inside of H2O's products.

Links:

An Intro to MLI Book: https://www.h2o.ai/wp-content/uploads/2019/08/An-Introduction-to-Machine-Learning-Interpretability-Second-Edition.pdf

Driverless AI:

https://www.h2o.ai/products/h2o-driverless-ai/

H2O-3:

http://docs.h2o.ai/h2o/latest-stable/h2o-docs/welcome.html

Follow:

Navdeep Gill:

https://twitter.com/Navdeep_Gill_

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

http://chaitimedatascience.com/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version available here: https://youtu.be/AXr8pzXXUDQ

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

Correction: Apologies and correction: Zach is a student at the University of West Florida, not university of Washington

In this episode, Sanyam Bhutani interviews his peer from the fast.ai community: Zachary Mueller, who's a student at the University of West Florida, currently pursuing his bachelor's degree in software design and development.

In this interview they talk all about fast.ai the course and fast.ai V2 the upcoming library along with all about Zach's experience with fast.ai, his journey into deep learning and fast.ai, and the projects that he's built while going through the course.

They also talked about a study group that Zach has now been running for a few weeks, that builds on top of fast.ai V2 the new library on which the course is yet to come out.

They also talked a lot about the top down learning approach and how can you go about learning fast.ai.

Links:

Study Group by Zach: https://forums.fast.ai/t/a-walk-with-fastai2-study-group-and-online-lectures-megathread/59929

Practical-Deep-Learning-for-Coders-2.0: https://github.com/muellerzr/Practical-Deep-Learning-for-Coders-2.0

Zach's YouTube Channel: https://www.youtube.com/channel/UCmKoQOD8uBqsRS8XDdSgrlQ

Follow:

Zachary Mueller:

https://twitter.com/TheZachMueller

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

About:

http://chaitimedatascience.com/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every Sunday, Thursday available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Chai Time Data Science Playlist: https://www.youtube.com/playlist?list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x

In this episode, Sanyam Bhutani interviews Patrick Hall, Sr. Director of Product at H2O.ai. Patrick has a background in Math and has completed a MS Course in Analytics.

In this interview they talk all about Patrick's journey into ML, ML Interpretability and his journey at H2O.ai, how his work has evolved over the years. They talk a lot about MLI, ML Explainability and Model Debugging.

They also talk about how these ideas are implemented inside of h2o.ai and how can someone bring these ideas to their pipelines.

Links:

"Real-World Strategies for Model Debugging": https://medium.com/@jphall_22520/strategies-for-model-debugging-aa822f1097ce

An Intro to MLI Book: https://www.h2o.ai/wp-content/uploads/2019/08/An-Introduction-to-Machine-Learning-Interpretability-Second-Edition.pdf

"Why you should care about debugging machine learning models": https://www.oreilly.com/radar/why-you-should-care-about-debugging-machine-learning-models/

"Proposed Guidelines for the Responsible Use of Explainable Machine Learning": https://arxiv.org/pdf/1906.03533.pdf

Follow:

Patrick Hall:

https://twitter.com/jpatrickhall

https://www.linkedin.com/in/jpatrickhall/

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

http://chaitimedatascience.com/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

Flow by LiQWYD https://soundcloud.com/liqwyd

Video version here: https://youtu.be/maR9ibJ2r7g

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews the Youngest Kaggle Grandmaster, "Anokas": Mikel Bober-Irizar for the second time.

In this Interview, they talk all about Mikel's journey into Kaggle, ML and his current life as a CS Student. Note: He's 18 years old at the time of publishing and still the youngest person to achieve the GM Title in Comp Tier at the age of 17, as well as the youngest person to achieve the triple master title.

They discuss his Kaggle journey, into ML, and ML research where he has published very interesting work and even organised a Kaggle Comp in the intersection of ML & Japanese Literature.

Links:

https://hackernoon.com/interview-with-the-youngest-kaggle-grandmaster-mikel-bober-irizar-anokas-17dfd2461070

https://www.kaggle.com/anokas

https://www.kaggle.com/c/landmark-retrieval-challenge/discussion/57855

https://www.kaggle.com/c/kuzushiji-recognition

https://scholar.google.com/citations?user=UTgURoAAAAAJ

Follow:

Mikel Bober-Irizar:

https://twitter.com/mikb0b?lang=en

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

About:

http://chaitimedatascience.com/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every Sunday, Thursday available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version available here: https://youtu.be/jw2Z-IMyFYw

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews the CEO of Kaggle: Anthony Goldbloom.

Anthony has a background in economics and has been working on Kaggle, working on the other side of Kaggle as the CEO and co founder for almost over a decade now,

They talk about his journey as the co founder of Kaggle, and even Kaggle's journey broadly speaking over the few past few years. How Kaggle has evolved, how their perspective, how their team's perspective on Kaggle and the team itself has evolved from the start until the point even after it got acquired by Google.

This interview shares a lot of insights about the behind the scenes work that goes into Kaggle while hosting a competition, broadly speaking, or even putting out a new course on Kaggle learn.

They also discuss Kaggle's future plans and what's next and exciting for us as frequent Kagglers.

Follow:

Anthony Goldbloom:

https://twitter.com/antgoldbloom

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

About:

http://chaitimedatascience.com/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every Sunday, Thursday available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

In this episode, Sanyam Bhutani interviews Jason Antic: The creator and researcher at DeOldify for the second time.

In this interview, they talk all about Jason's software engineering experience, his software experience applied to deep learning, his journey with DeOldify, how he came up with the idea of DeOldify and how he kept on improving it.

They talk also broadly speaking a lot about software engineering practices and how those were helpful to Jason while working on DeOldify, fast.ai, and even the top down way of learning.

Reminder: This interview and all future will have fixed subtitles for the non-native English speaking (also lazy) audience along with blog posts to be released at: sanyambhutani.com

Video Version available here: https://youtu.be/A5Cq8SWudts

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

Links:

https://sanyambhutani.com/interview-with-the-creator-of-deoldify--fast-ai-student--jason-antic/

https://github.com/jantic/DeOldify

https://www.fast.ai/2019/05/03/decrappify/

https://www.instagram.com/america_in_color/

Follow:

Jason Antic:

https://twitter.com/citnaj

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

About:

http://chaitimedatascience.com/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every Sunday, Thursday available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track:

Flow by LiQWYD https://soundcloud.com/liqwyd

Chai Time Data Science Playlist: https://www.youtube.com/playlist?list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x

Audio (Podcast Version) available here: https://anchor.fm/chaitimedatascience

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews Kaggle Grand Master and Data Scientist at H2O.ai: Rohan Rao.

Rohan is a Kaggle Grand Master in the competition tier, and a data scientist, He has represented India not just in data science, but also in Sudoku and puzzles. He's a seven time and current national Sudoku champion, and the first Indian to be ranked in top 10 at the World Championship in 2012, where he secured the eighth position. Currently, his world rank is 17 and he's secured two podium finishes at Asian Sudoku championship. And he's a five time national puzzle champion with his current rank being 44th. Four time and current times natural Sudoku champion.

In this interview they talk all about his journey into data science, into data and numbers-his journey into the world of competitive sports, both on and off Kaggle.

In the off Kaggle journey we discuss his data science journey and on Kaggle will discuss how his approach to Kaggle has changed over the years, how it's evolved, and his current thoughts on the platform and tips and advice.

They also discuss his recent Eighth gold medal on Kaggle and his team's second position finish on the ASHRAE great energy prediction.

Links: 

Interview with CPMP:https://www.youtube.com/watch?v=wqHlAOFSFuQ 

2nd Pos Solution: https://www.kaggle.com/c/ashrae-energy-prediction/discussion/123481 

KaggleDaysMeetup: https://sanyambhutani.com/kaggledaysmeetup-bangalore--recap-by-dsnet-team/

Follow:

Rohan Rao:

https://en.wikipedia.org/wiki/Rohan_Rao

https://twitter.com/vopani?lang=en

https://www.kaggle.com/rohanrao

https://www.linkedin.com/in/vopani/?originalSubdomain=in

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

http://chaitimedatascience.com/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

Flow by LiQWYD https://soundcloud.com/liqwyd

Reminder: This interview and all future will have fixed subtitles (on YouTube) for the non-native English speaking (also lazy) audience along with blog posts to be released at: sanyambhutani.com, Video posted here: https://youtu.be/_Srv0bKmfjY

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani  

In this episode, Sanyam Bhutani interviews The Two Lions from the Kaggle Team "The Zoo": Dmitry Gordeev, also known as the "dott" on kaggle. And Philipp Singer, the Psi on Kaggle  

In this interview, they talk about first Dmitry's journey into data science and on kaggle. In the later half, about "The Zoo": Kaggle Team.  

The zoo's journey both of their journey on kaggle. Together, their approach on teaming up their approach about winning a competition and they discuss about what does it really take to win a kaggle competition.   

They also talk about their recent win on the NFL Big Data bowl competition.   

Links:  

Interview with Psi: https://youtu.be/7sh5QrUIAHI 

Interview with Giba: https://youtu.be/MpYeDKw8EOg 

Interview with CPMP: https://youtu.be/wqHlAOFSFuQ  

NFL Big Data Bowl Winning Sol Writeup: https://www.kaggle.com/c/nfl-big-data-bowl-2020/discussion/119400  

Follow:  

Dmitry Gordeev: 

http://twitter.com/dott1718 

https://www.kaggle.com/dott1718  

Philipp Singer: 

https://twitter.com/ph_singer 

https://www.philippsinger.info/  

Sanyam Bhutani: 

https://twitter.com/bhutanisanyam1  

About: http://chaitimedatascience.com/ 

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.   You can expect weekly episodes every Sunday, Thursday available as Video, Podcast, and blogposts.  

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience 

Intro track:  Flow by LiQWYD https://soundcloud.com/liqwyd

Reminder: This interview and all future will have fixed subtitles for the non-native English speaking (also lazy) audience along with blog posts to be released at: sanyambhutani.com

Audio (Podcast Version) available here: https://anchor.fm/chaitimedatascience Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews Kaggle legend, Double Kaggle Grand Master and Former number one in Kaggle Competitions: Gilberto Titericz, aka Giba on Kaggle.

They talk all about Giba's journey into the field of data science broadly speaking, and also on Kaggle. Giba shares many amazing advises about Kaggle and also connect the dots for us of how those connect to the real world of data science.

There are many advices about Kaggle, about data science and how to get your first break into data science.

Links:  https://www.youtube.com/watch?v=MvDoc6fwVWA

Follow:  

Gilberto Titericz: 

https://www.kaggle.com/titericz 

https://twitter.com/giba1?lang=en 

https://www.linkedin.com/in/gilberto-titericz-6601357/

Sanyam Bhutani: 

https://twitter.com/bhutanisanyam1 

Blog: sanyambhutani.com  

About: 

https://sanyambhutani.com/tag/chaitimedatascience/ 

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.   

You can expect weekly episodes every available as Video, Podcast, and blogposts.  If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience Intro track:  

Flow by LiQWYD https://soundcloud.com/liqwyd

Chai Time Data Science Playlist: https://www.youtube.com/playlist?list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews Dr. Leland Wilkinson, one of the best statisticians and quite literally the author of the grammar of graphics, Chief Scientist at H2O.ai.

They talk all about Leland's journey into the field over the past few years his amazing contributions that  need no introduction to the audience. His work at SYSTAT, followed by his work at Tableau and his current work at H2O.ai where again, he's working on very exciting projects.

They talk all about how software development has evolved all over these years and his current work at H2O, his take on the field, broadly speaking, and the interview of course includes many best advices for all of the beginners out there.

Follow: 

Leland:  

https://www.linkedin.com/in/leland-wilkinson-07a0b25/ 

https://en.wikipedia.org/wiki/Leland_Wilkinson

H2O.AI:

https://twitter.com/h2oai

https://www.linkedin.com/company/h2oai

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About: 

http://chaitimedatascience.com/ 

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.   You can expect weekly episodes every available as Video, Podcast, and blogposts.  

Flow by LiQWYD https://soundcloud.com/liqwyd

Note to the listeners: Even's team is also hiring! If you're interested in bringing great ideas to the "GPU Ecosystem", please check:

https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Machine-Learning-Engineer--Recommender-Systems---RAPIDS_JR1926986

https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Applied-Research-Scientist--Recommender-Systems---RAPIDS_JR1926987

Reminder: This interview and all future will have fixed subtitles for the non-native English speaking (also lazy) audience along with blog posts to be released at: sanyambhutani.com

Audio (Podcast Version) available here: https://anchor.fm/chaitimedatascience 

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews Even Oldridge, Senior Applied Research Scientist at Nvidia currently working on the rapids.ai team.

They talk all about Even's journey and Even's journey into fast ai, his thoughts around the course and many best advises for people just taking the course and following the top down way of learning new things.

They also talk a lot about his current work at rapid.ai. What rapids is currently working on including multiple projects, cudf, cuml, cugraph, and all of the little projects that sit inside of the rapids ai repository.

Links:

https://rapids.ai 

https://course.fast.ai 

https://medium.com/rapids-ai/accelerating-deep-learning-recommender-systems-by-15x-using-rapids-fastai-and-pytorch-b50b4d8568d1?source=---------0-----------------------

Links to referred interviews:  

CPMP: https://www.youtube.com/watch?v=wqHlAOFSFuQ&list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x&index=7 

Jeremy Howard: https://www.youtube.com/watch?v=205j37G1cxw&list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x&index=5 

Andrew Shaw: https://www.youtube.com/watch?v=zbYeCWG9GIU&list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x&index=16 

Christine Payne: https://www.youtube.com/watch?v=xwXIaDrQvwE&list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x&index=21 

Follow:  

Even Oldridge: 

http://twitter.com/Even_Oldridge  

Sanyam Bhutani: 

https://twitter.com/bhutanisanyam1 

Blog: sanyambhutani.com

About: 

https://sanyambhutani.com/tag/chaitimedatascience/ 

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts. 

 If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience Intro track:  

Flow by LiQWYD https://soundcloud.com/liqwyd

Chai Time Data Science Playlist: https://www.youtube.com/playlist?list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x  

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani  

In this episode, Sanyam Bhutani interviews Dr. Olivier Grellier, double Kaggle Grand Master, and Senior Data Scientist at H2O.ai.   

Olivier holds a PhD in signal processing and has worked across multiple roles in different domains over the years, including that of a developer, project manager, and even in trading before getting into data science.  

In this interview, they talk all about Olivier's journey over the past years. His data science journey, how he got started with data science, and Kaggle. They talk all about H2O.ai. His work at H2O.ai and his current projects, Olivier shares insights into Kaggle and Kaggle competitions. 

They talk all about Kaggle as a learning platform and also as a platform for professional skill development.   

Follow: 

Olivier: 

https://www.kaggle.com/ogrellier  

H2O.AI:

https://twitter.com/h2oai 

https://www.linkedin.com/company/h2oai  

Sanyam Bhutani: 

https://twitter.com/bhutanisanyam1  

Blog: sanyambhutani.com  

About: 

http://chaitimedatascience.com/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.   

You can expect weekly episodes every available as Video, Podcast, and blogposts.  

Flow by LiQWYD https://soundcloud.com/liqwyd

Personal Note: This interview and all future will have fixed subtitles for the non-native English speaking (also lazy) audience along with blog posts to be released at: sanyambhutani.com 

Video Version available here: https://youtu.be/TwhJfZHx10s 

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani  

In this episode, Sanyam Bhutani interviews Eugene Khvedchenya: Kaggle Comp Master and Computer Vision Consultant.   

They talk all about his journey into the field and Kaggle, and his recent team gold finish on the Severstal: Steel Defect Detection Kaggle competition, where his team finished fourth, bringing another gold medal to his profile.   

Eugene also says many great pieces of advice around writing code, good code, and specially good code for Kaggle competitions, along with our discussion on his open source efforts on Albumentations and another framework that he's currently working on, called Pytorch toolbelt.   

Links:   

Severstal Steel Detection Comp: https://www.kaggle.com/c/severstal-steel-defect-detection/discussion/114716 

AMA Thread: https://www.kaggle.com/c/severstal-steel-defect-detection/discussion/114291 

Albumentations & Interview with Vladimir Iglovikov: https://youtu.be/JS9xol0VmA4 

fast.ai course: https://course.fast.ai  

Follow: 

Eugene Khvedchenya: https://www.linkedin.com/in/cvtalks/?originalSubdomain=ua 

https://medium.com/@eugenekhvedchenya 

https://www.instagram.com/ekhvedchenya/?hl=en 

https://www.kaggle.com/bloodaxe  

Join: ods.ai  

Sanyam Bhutani: 

https://twitter.com/bhutanisanyam1 

Blog: sanyambhutani.com  

About: https://sanyambhutani.com/tag/chaitimedatascience/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.   You can expect weekly episodes every available as Video, Podcast, and blogposts.  

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience Intro track:  Flow by LiQWYD https://soundcloud.com/liqwyd

Chai Time Data Science Playlist: https://www.youtube.com/playlist?list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x

Audio (Podcast Version) available here: https://anchor.fm/chaitimedatascience

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews Dr. Arno Candel: CTO at H2O.ai

They talk about Arno’s journey into the field with amazing comments and insights by Arno applicable to the field.

They talk all about Arno’s journey and ML, Automated Machine Learning Broadly speaking. Arno’s journey from Physics to Software Engineering to Machine Learning Broadly speaking, his journey at H2O.

They also discuss H2O’s products, vision and The “Maker Culture”

Links:

Interview with SRK: https://sanyambhutani.com/interview-with-twice-kaggle-grandmaster-and-data-scientist-at-h2o-ai--sudalai-rajkumar/

Follow:

Arno Candel:

https://twitter.com/arnocandel

https://www.linkedin.com/in/candel/

H2O.AI:

https://twitter.com/h2oai

https://www.linkedin.com/company/h2oai

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

About:

http://chaitimedatascience.com/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

You can expect weekly episodes every available as Video, Podcast, and blogposts.

Flow by LiQWYD https://soundcloud.com/liqwyd

Personal Note: I'm extremely excited and really honoured to share this interview!  

Show notes: https://sanyambhutani.com/interview-with-jeremy-howard/

Audio (Podcast Version) available here: https://anchor.fm/chaitimedatascience 

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani  

In this episode, Sanyam Bhutani interviews Jeremy Howard: Co-Founder at fast.ai and Guru to the complete fast.ai community.  

They talk all about Jeremy's journey into through the field as a Consultant to Founder to Kaggle Rank 1 followed by founding fast.ai.   

They also discuss all about the fast.ai forums: The research that goes into it, how Jeremy and Sylvain collaborate on research and how the course is prepared.   

Links:  

fast.ai course:  https://course.fast.ai

Interview with Sylvain Gugger:  

Interview with Jason Antic (Creator of DeOldify):  

Follow: 

Jeremy Howard: 

https://twitter.com/jeremyphoward

Fast.ai: https://twitter.com/fastdotai

https://fast.ai

Sanyam Bhutani: 

https://twitter.com/bhutanisanyam1 

Blog: sanyambhutani.com  

About: http://chaitimedatascience.com/ 

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.   You can expect weekly episodes every available as Video, Podcast, and blogposts.  

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience Intro track:  Flow by LiQWYD https://soundcloud.com/liqwyd

Audio (Podcast Version) available here: https://anchor.fm/chaitimedatascience 

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani  

In this episode, Sanyam Bhutani interviews the Victor Sanh, Research Scientist at Hugging Face. In this interview, they talk all about his journey into the field of NLP and Machine Learning.   

They also talk about Research in general and Research at Hugging Face along with a discussion on DistilBERT. 

Links:  

DistilBERT: https://medium.com/huggingface/distilbert-8cf3380435b5 

https://arxiv.org/abs/1910.01108  

Transformers Repo: 

https://github.com/huggingface/transformers  

https://medium.com/huggingface/distilbert-8cf3380435b5  

Follow:

Victor Sanh: 

https://twitter.com/sanhestpasmoi?lang=en 

https://www.linkedin.com/in/victor-sanh/?locale=en_US  

Hugging Face: 

https://twitter.com/huggingface 

https://huggingface.co/ 

https://medium.com/huggingface

Sanyam Bhutani: 

https://twitter.com/bhutanisanyam1 

Blog: sanyambhutani.com  

About: 

http://chaitimedatascience.com/ 

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.   

You can expect weekly episodes every available as Video, Podcast, and blogposts.  

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience 

Intro track:  Flow by LiQWYD https://soundcloud.com/liqwyd

Audio Version available here: https://anchor.fm/chaitimedatascience

Newsletter: https://tinyletter.com/sanyambhutani

https://hackernoon.com/interview-with-twice-kaggle-grandmaster-dr-jean-francois-puget-cpmp-6d92328e433a

In this Episode, Sanyam Bhutani interviews x2 Kaggle GrandMaster, King of Kaggle Discussions: Dr. Jean Francois Puget, Ranked #1 in Discussions Tier.

In this interview they talk all about IEEE-CIS Fraud Detection Kaggle Competition, CPMP's approach to Kaggle in general and also very specifically to this competition. 

They also dig deeper into a few topics that pick up right after the previous interview.

Comp Link: https://www.kaggle.com/c/ieee-fraud-detection

Solution Overview: https://www.kaggle.com/c/ieee-fraud-detection/discussion/111321#latest-648250

Interview with Machine Learning Hero Series: https://hackernoon.com/interview-with-machine-learning-heroes-0ifi3yyg

Follow:

Dr. Jean Francois Puget

https://twitter.com/jfpuget

https://www.linkedin.com/in/jfpuget/

https://www.kaggle.com/cpmpml

Sanyam Bhutani: 

https://twitter.com/bhutanisanyam1

About:

http://chaitimedatascience.com/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. 

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track: 

Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version available here: https://youtu.be/7sh5QrUIAHI

Newsletter: https://tinyletter.com/sanyambhutani

In this Episode, Sanyam Bhutani interviews Dr. Philipp Singer, Sr. Data Scientist at UNIQA Insurance Group and Kaggle 2x Master, Currently in Top 30 of competitions tier and Top 10 in the Discussions Tier. 

They talk all about his journey into the field, along with his approach to Kaggling where he medals in every single competition that he participates in, with 83% Gold medals and 17% Silver medals (5, 1 respectively)!!!

They also discuss  "The Zoo" (Team)'s recent 6th position Gold Medal finish on the IEEE-CIS Fraud Detection Kaggle Competition. 

Comp Link: https://www.kaggle.com/c/ieee-fraud-detection

Solution Overview: https://www.kaggle.com/c/ieee-fraud-detection/discussion/111247

Interview with Machine Learning Hero Series: https://hackernoon.com/interview-with-machine-learning-heroes-0ifi3yyg

Follow:

Philipp Singer

https://twitter.com/ph_singer

https://www.philippsinger.info/

Sanyam Bhutani: https://twitter.com/bhutanisanyam1

About:

http://chaitimedatascience.com/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. 

You can expect weekly episodes every Sunday, Thursday available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track: 

Flow by LiQWYD https://soundcloud.com/liqwyd

Video Version available here: https://youtu.be/sqo2h7aYPPk

Newsletter: https://tinyletter.com/sanyambhutani

In this Episode, Sanyam Bhutani interviews Andres Torrubia, CEO of Fixr.com and Kaggle Competition Master. They talk all about his journey into the field, along with the predicting molecular property challenge along with Andres' Bruce Wayne during the day and Batman of Kaggle during the night lifestyle. 

Predicting Molecular Prop Comp: https://www.kaggle.com/c/champs-scalar-coupling

Solution Overview + Source Code by Andres: https://www.kaggle.com/c/champs-scalar-coupling/discussion/108845#latest-662721

Interview with Machine Learning Hero Series: https://medium.com/dsnet/interviews-with-machine-learning-heroes-ad9358385278 

Follow:

Andres Torrubia:

https://twitter.com/antor

Sanyam Bhutani: https://twitter.com/bhutanisanyam1

About:

http://chaitimedatascience.com/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. 

You can expect weekly episodes every Sunday, Thursday available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Intro track: 

Flow by LiQWYD https://soundcloud.com/liqwyd

Newsletter: https://tinyletter.com/sanyambhutani

Personal Note: I'm really honored to share this conversation. I really hope you enjoy listening to it as much as I enjoyed talking to Dr. Marc Lanctot.

In this Episode, Sanyam Bhutani interviews Dr. Marc Lactot, a Research Scientist at DeepMind. In this interview, they talk all about Research at DeepMind, Deep Learning Research, AlphaGo. They also talk all about Swift For Tensorflow and OpenSpiel.

Dr. Marc Lanctot is a research scientist at Google DeepMind. Previously, he was a post-doctoral researcher at the Maastricht University Games and AI Group, working with Mark Winands. During his PhD, Marc worked on sampling algorithms for equilibrium computation and decision-making in games. His research interests include in general multiagent learning (and planning), computational game theory, reinforcement learning, and game-tree search.

Open Spiel: https://deepmind.com/research/open-source/openspiel

Interview with Machine Learning Hero Series: https://medium.com/dsnet/interviews-with-machine-learning-heroes-ad9358385278 

Links from the podcast: 

- Commodore 64: https://en.wikipedia.org/wiki/Commodore_64

- Intellivision (early console!): https://en.wikipedia.org/wiki/Intellivision

- AD&D Treasure of Tarmin (Intellivision game with 3D perspective-- pretty advanced for its time!): https://en.wikipedia.org/wiki/Advanced_Dungeons_%26_Dragons:_Treasure_of_Tarmin

- Montezuma's revenge: https://en.wikipedia.org/wiki/Montezuma%27s_Revenge_(video_game)

Follow:

Dr. Marc Lanctot

https://twitter.com/sharky6000

http://mlanctot.info/

https://www.linkedin.com/in/marc-lanctot-a1619095/?originalSubdomain=ca

Sanyam Bhutani: https://twitter.com/bhutanisanyam1

About:

http://chaitimedatascience.com/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. 

You can expect weekly episodes every Sunday, Thursday available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Audio Version available here: https://anchor.fm/chaitimedatascience

Newsletter: https://tinyletter.com/sanyambhutani

In this Episode, Sanyam Bhutani interviews Bart Chrzaszcz, an undergraduate at the University of Waterloo. They talk about Bart's Google Software Engineering Internship where he contributed to Swift For Tensorflow, OpenSpiel.

Interview with Machine Learning Hero Series: https://medium.com/dsnet/interviews-with-machine-learning-heroes-ad9358385278 

Follow:

Bart:

https://twitter.com/bart_chr

Sanyam Bhutani: https://twitter.com/bhutanisanyam1

About:

http://chaitimedatascience.com/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. 

You can expect weekly episodes every Sunday, Thursday available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Audio Version available here: https://anchor.fm/chaitimedatascience

Newsletter: https://tinyletter.com/sanyambhutani

In this Episode, Sanyam Bhutani interviews Dr. Boris Dorado. They talk about Boris's first Kaggle Competition experience and his takeaways from teaming up with 4 Kaggle Grandmasters in the "Predicting Molecular Property Kaggle Competition" and their team's solution. 

AMA Thread: https://www.kaggle.com/c/champs-scalar-coupling/discussion/109670

Interview with Machine Learning Hero Series: https://medium.com/dsnet/interviews-with-machine-learning-heroes-ad9358385278 

Follow:

Dr. Boris Dorado:

https://www.linkedin.com/in/boris-dorado/

https://borisdorado.com/

Sanyam Bhutani: https://twitter.com/bhutanisanyam1

About:

http://chaitimedatascience.com/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. 

You can expect weekly episodes every Sunday, Thursday available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Audio (Podcast Version) available here: https://anchor.fm/chaitimedatascience

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews Chip Huyen, Senior Deep Learning Engineer at NVIDIA. They talk all about her journey into the field and her work at NVIDIA. 

They also discuss Chip's amazing upcoming book about ML interviews and ML interviews in general, Deep learning research and MOOCS.

Links: 

https://huyenchip.com/

Twitter thread about the book: https://twitter.com/chipro/status/1152077188985835521

Blogpost about the book: https://huyenchip.com/2019/07/21/machine-learning-interviews.html

Glassdoor review Blogpost: https://huyenchip.com/2019/08/21/glassdoor-interview-reviews-tech-hiring-cultures.html

Follow:

Chip Huyen:

https://twitter.com/chipro?lang=en

Website: https://huyenchip.com/

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: https://medium.com/@init_27

About:

http://chaitimedatascience.com/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. 

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Audio (Podcast Version) available here: https://anchor.fm/chaitimedatascience

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

Giveway Links: 

Linkedin: https://www.linkedin.com/posts/sanyambhutani_generative-deep-learning-technical-writing-activity-6589683729122283520-E2OZ

Twitter: https://twitter.com/bhutanisanyam1/status/1183920078288351232

In this episode, Sanyam Bhutani interviews David Foster, Co-Founder of Applied Data Science, Author of Generative Deep Learning 

In this interview, they talk all about his journey into the field and his path as a Data Scientist and his experience with Technical writing. They also talk all about the Generative Deep Learning Book, the efforts and the process of writing it.

Links: 

Book: https://www.oreilly.com/library/view/generative-deep-learning/9781492041931/

Applied Data Science: https://adsp.ai/

David's blogposts: https://medium.com/@dtfoster

Follow:

David Foster:

https://www.linkedin.com/in/davidtfoster/

Applied Data Science: 

adsp.ai

https://twitter.com/applied_data

https://www.linkedin.com/company/applied-data-science/?originalSubdomain=in

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: https://medium.com/@init_27

About:

http://chaitimedatascience.com/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. 

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews the CTO of Hugging Face, Julien Chaumond. In this interview, they talk all about his journey into the field and his path as a CTO of Hugging Face. They discuss all the amazing work being done at Hugging Face, research and open source as well as about their team.

Links: 

https://transformer.huggingface.co/

Transformers Repo: https://github.com/huggingface/transformers

https://medium.com/huggingface/distilbert-8cf3380435b5

Follow:

Julien Chaumond:

https://twitter.com/julien_c

Hugging Face:

https://twitter.com/huggingface

https://huggingface.co/

https://medium.com/huggingface

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: https://medium.com/@init_27

About:

http://chaitimedatascience.com/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. 

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

In this episode, Sanyam Bhutani interviews Andrew Shaw. In this interview, they talk all about Andrew's journey into the field, his fast.ai journey, and his recent project: musicautobot. MusicAutobot is an "AI Pop Music Generator". They also briefly talk about the fast.ai DAWNBench results.

Links: 

https://musicautobot.com/

fast.ai DAWNBench: https://www.fast.ai/2018/08/10/fastai-diu-imagenet/

https://www.fast.ai/2018/04/30/dawnbench-fastai/

Blogposts:

Part 1: https://towardsdatascience.com/creating-a-pop-music-generator-with-the-transformer-5867511b382a

Part 2: https://towardsdatascience.com/practical-tips-for-training-a-music-model-755c62560ec2

Part 3: https://towardsdatascience.com/a-multitask-music-model-with-bert-transformer-xl-and-seq2seq-3d80bd2ea08e

Part 4: https://towardsdatascience.com/how-to-remix-the-chainsmokers-with-a-music-bot-6b920359248c

Follow:

Andrew Shaw:

https://twitter.com/bearpelican

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: https://medium.com/@init_27

About:

http://chaitimedatascience.com/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. 

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Video version: https://youtu.be/ULXB6a9i20A

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this episode, Sanyam Bhutani interviews Dr. Judy Gichoya about her journey into both the Open Source and Machine Learning world. Judy is kind enough to share great advice for people in both domains: People from the Medical domain and people from the "ML" domain looking to get started in the opposite domain. They also talk about Judy's current (and upcoming) research: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1928481&HistoricalAwards=false

Links: 

LibreHealth: https://librehealth.io/

OpenMRS: https://openmrs.org/

Bad Blood book: https://en.wikipedia.org/wiki/Bad_Blood:_Secrets_and_Lies_in_a_Silicon_Valley_Startup

Follow:

Dr. Judy Gichoya

https://twitter.com/judywawira

https://www.linkedin.com/in/judy-gichoya-08195012/

https://medium.com/@judywawira

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

https://www.linkedin.com/in/sanyambhutani/

https://medium.com/@init_27

About:

http://chaitimedatascience.com/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. 

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Audio (Podcast Version) available here: https://anchor.fm/chaitimedatascience

Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

In this Episode, Sanyam Bhutani interviews Pierre Stock, resident PhD student at FAIR Lab, Paris. In this interview, they talk a lot about his research, Deep Learning Research in general and FAIR. They also discuss Pierre's recent research: And the Bit Goes Down: Revisiting the Quantization

of Neural Networks (Link: https://arxiv.org/pdf/1907.05686.pdf)

Repository: https://github.com/facebookresearch/kill-the-bits

Follow:

Pierre Stock:

https://twitter.com/PierreStock

https://research.fb.com/people/stock-pierre/

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: https://medium.com/@init_27

About:

http://chaitimedatascience.com/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. 

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Audio (Podcast Version) available here: https://anchor.fm/chaitimedatascience

In this episode Sanyam Bhutani interviews Robbert Bracco about his journey, the "unofficial fastai audio port" and they set the theme for the future episodes around "Self-Teaching", "Things Jeremy Says to do/fastai recap" 

Unofficial fast.ai audio framework: https://github.com/mogwai/fastai_audio/

Deep Learning Audio Thread: https://forums.fast.ai/t/deep-learning-with-audio-thread/38123

Things Jeremy Says to do Thread: https://forums.fast.ai/t/things-jeremy-says-to-do/36682/24

Follow:

Robbert Bracco

https://twitter.com/MadeUpMasters

Sanyam Bhutani: 

https://twitter.com/bhutanisanyam1

About:

http://chaitimedatascience.com/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. 

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Previous Blog Interview: https://medium.com/dsnet/interview-with-openai-fellow-christine-mcleavey-payne-aaef948ad571

In this episode, Sanyam Bhutani interviews Christine Payne for the second time. They talk about MuseNet, OpenAI and Deep Learning Research, MOOC(s) for Machine Learning, Deep Learning. 

MuseNet: https://openai.com/blog/musenet/

Follow:

Christine Payne:

https://twitter.com/mcleavey

https://www.linkedin.com/in/mcleavey/

http://christinemcleavey.com/

Sanyam Bhutani: 

https://twitter.com/bhutanisanyam1

About:

http://chaitimedatascience.com/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. 

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Subscribe to my newsletter here: https://tinyletter.com/sanyambhutani/

Course website: mlcourse.ai

Call to action (Request): Please help us spread the word about the course. 

Twitter thread: https://twitter.com/bhutanisanyam1/status/1163429648698494976?s=20

Linkedin Post: https://www.linkedin.com/feed/update/urn:li:activity:6569181565664972801/

In this episode Sanyam Bhutani interviews Dr. Yury Kashnitsky about mlcourse.ai; mlcourse.ai dubbed "Learn Machine Learning the hardway", is an open Machine Learning course by OpenDataScience. The course is designed to perfectly balance theory and practice. In this episode we talk about the course setup and structure. The efforts that went into creating the course. Yury is also kind enough to share many great advices to both future students and mlcourse alumni. 

Follow:

Dr. Yury Kashnitsky

https://twitter.com/ykashnitsky

https://yorko.github.io

Sanyam Bhutani: 

https://twitter.com/bhutanisanyam1

sanyambhutani.com

About:

http://chaitimedatascience.com/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. 

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Subscribe to my newsletter here: https://tinyletter.com/sanyambhutani/

Video of the interview is available here: https://youtu.be/P7vUzcySzkM

Previous Blog Interview: https://medium.com/dsnet/interview-with-kaggle-grandmaster-senior-cv-engineer-at-lyft-dr-vladimir-i-iglovikov-9938e1fc7c

Albumentations Framework: https://github.com/albu/albumentations

Albumentations is a fast image augmentation library and easy to use wrapper around other libraries by Alexander Buslaev, Alex Parinov, Vladimir I. Iglovikov, Evegene Khvedchenya.

In this Episode, Sanyam Bhutani interviews Dr. Vladimir Iglovikov for the second time. They talk about albumentations, image augmentations and contributing to open source. 

Follow:

Dr. Vladimir Iglovikov

https://twitter.com/viglovikov

https://www.linkedin.com/in/iglovikov/

https://www.kaggle.com/iglovikov

Sanyam Bhutani: 

https://twitter.com/bhutanisanyam1

https://www.linkedin.com/in/sanyambhutani/

https://www.kaggle.com/init27/

About:

http://chaitimedatascience.com/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. 

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Subscribe to my newsletter here: https://tinyletter.com/sanyambhutani/

Video available here: https://youtu.be/IMOqrf5NPUU

https://towardsdatascience.com/diving-into-dali-1c30c28731c0

In this episode, Sanyam Bhutani interviews James Dellinger about his experiments with the DALI library by NVIDIA.

They talk about performance, convenience, and comparisons of the frameworks against others.

Follow:

James Dellinger:

https://twitter.com/jamrdell

https://www.linkedin.com/in/jamdell/

https://medium.com/@jamesdell

Sanyam Bhutani: 

https://twitter.com/bhutanisanyam1

https://www.linkedin.com/in/sanyambhutani/

https://medium.com/@init_27

About:

http://chaitimedatascience.com/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. 

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

In this episode, Sanyam Bhutani interviews the king of kaggle kernels, Grandmaster Andrew Lukyanenko (Ranked #1) about his journey into Data Science, Kaggle. They also talk about his pipeline for writing kernels. 

Follow:

Andrew Lukyaneko

Twitter, Linkedin, Kaggle

Sanyam Bhutani: 

Twitter, Linkedin, Kaggle

About:

http://chaitimedatascience.com/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. 

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

In this episode, Sanyam Bhutani interviews Shivam Bansal, Kaggle Kernels GM ranked in the Top 4 of the tier. They talk about his journey into Data Science, Kaggle, the solution to his recent competition win: Data Science for Good: City of LA Comp. Shivam also shares his pipeline and motivation behind writing kernels. 

Shivam's Kernel Profile, Competition Link, Competition Solution

Follow:

Shivam Bansal:

Twitter, Linkedin, Blog

Sanyam Bhutani: 

Twitter, Linkedin, Blog

About:

http://chaitimedatascience.com/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. 

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

This has been one of the most enlightening conversations for us about Deep Learning Research.

In this Interview, Sanyam Bhutani interviews Tim Dettmers, a Ph.D. student at the University of Washington. They talk about Deep Learning Research, Pipelines for Research, Sparse Networks from Scratch: Faster training without Losing Performance paper by Tim. They also talk about Hardware, Tim's Kaggle. 

Follow:

Tim Dettmers:

Twitter, Blog

Sanyam Bhutani: 

Twitter, Blog

About:

http://chaitimedatascience.com/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. 

You can expect weekly episodes available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

In this Conversation, Sanyam Bhutani interviews Shivam Bansal about his recent Kaggle Competition Winning Solution for the: Data Science for Good: City of Los Angeles Competition.   The complete interview will be released on the 8th of August, Stay Tuned!

The complete interview will be released on the 8th of August, Stay Tuned!

Competition Link, Solution Link

Follow:

Shivam Bansal:

Twitter, Linkedin, Blog, Kaggle

Sanyam Bhutani: 

Twitter, Linkedin, Blog, Kaggle

About:

http://chaitimedatascience.com/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. 

You can expect weekly episodes every available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

We're super excited to share this amazing interview with the CEO of SharpestMinds, a startup from the Y Combinator batch of W '18: Edouard Harris. 

In this episode, Sanyam Bhutani interviews Edouard Harris about their company, Ed's journey into Data Science and they talk many great things about jobs in the Data Science/Machine Learning Landscape. 

Follow:

Edouard Harris: Twitter Profile, Linkedin Profile, Blog

Sharpest Minds

Jeremie Harris: Twitter Profile, Blog

Russell Pollari: Twitter Profile, Linkedin Profile, Blog

Host:

Sanyam Bhutani: 

Twitter Profile, Linkedin Profile, Blog

About:

http://chaitimedatascience.com/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. 

You can expect weekly episodes every Sunday, Thursday available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

In this Episode, Sanyam Bhutani interviews Kaggle Competition Master: Ryan Chesler. They talk about Ryan's journey into Data Science and Kaggle; his Kaggle Experience and current projects as well as his solution to the Jigsaw Unintended Bias in Toxicity Classification Kaggle Competition

Interview with Machine Learning Hero Series

Follow:

Ryan Chesler: 

Kaggle Profile, Linkedin Profile, Twitter Profile

Sanyam Bhutani: 

Twitter Profile

About:

http://chaitimedatascience.com/

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. 

You can expect weekly episodes every Sunday, Thursday available as Video, Podcast, and blogposts.

If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

In the first Episode, Sanyam Bhutani interviews Kaggle Triple Grandmaster: Abhishek Thakur. 

They talk about Abhishek's journey into Data Science and Kaggle; his Kaggle Experience and current projects.  

Interview with Machine Learning Hero Series

Follow: 

Abhishek Thakur: 

Twitter Profile, Linkedin Profile, Kaggle Profile  

Sanyam Bhutani: 

Twitter Profile. Linkedin Profile, Kaggle Profile

About: http://chaitimedatascience.com/ 

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.   You can expect weekly episodes every Sunday, Thursday available as Video, Podcast, and blogposts.  

If you'd like to support the podcast

A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.   You can expect weekly episodes every Sunday, Thursday available as Video, Podcast, and blogpost.

Interview with ML Hero Series: https://medium.com/p/bfaaf38df219 

YouTube: https://www.youtube.com/channel/UCmKaoNn0OvxVAe7f_8sXYNQ

Blog: https://medium.com/@init_27