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Super Data Science

Super Data Science

The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast. As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact. Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy. We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship ? everything you need to crush it with data science.

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628: The Critical Human Element of Successful A.I. Deployments

On this episode of Five-Minute Friday, Jon Krohn speaks from the Open Data Science Conference (ODSC). There, he sits down with author and data scientist Keith McCormick to discuss the conference?s key trend: learning the importance of trust in the relationship between humans and algorithms. Additional materials: www.superdatascience.com/628 Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
2022-11-18
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627: AutoML: Automated Machine Learning

Jon Krohn speaks with Erin LeDell, H2O.ai?s Chief Machine Learning Scientist. They investigate how AutoML supercharges the data science process, the importance of admissible machine learning for an equitable data-driven future, and what Erin?s group Women in Machine Learning & Data Science is doing to increase inclusivity and representation in the field. This episode is brought to you by Datalore (https://datalore.online/SDS), the collaborative data science platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information. In this episode you will learn: ? The H2O AutoML platform Erin developed [07:43] ? How genetic algorithms work [19:17] ? Why you should consider using AutoML? [28:15] ? The ?No Free Lunch Theorem? [33:45] ? What Admissible Machine Learning is [37:59] ? What motivated Erin to found R-Ladies Global and Women in Machine Learning and Data Science [47:00] ? How to address bias in datasets [57:03] Additional materials: www.superdatascience.com/627
2022-11-15
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626: Subword Tokenization with Byte-Pair Encoding

Word tokenization, character tokenization and subword tokenization go head-to-head this week as Jon Krohn delivers a mini-bootcamp on the NLP-related process. Additional materials: www.superdatascience.com/626 Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
2022-11-11
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625: Analyzing Blockchain Data and Cryptocurrencies

Chainalysis' Director of Research, Kim Grauer joins Jon Krohn to explore the state of economic-data analysis on the blockchain. This episode is brought to you by Datalore (https://datalore.online/SDS), the collaborative data science platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information. In this episode you will learn: ? Kim's role as Director of Research [5:02] ? The unique real-time economic-data analytics of the blockchain [13:07] ? How ML can predict patterns of criminal activity on the blockchain [18:56] ? Interesting use cases of ML for crime investigation [29:37] ? The tools and approaches Kim uses daily [47:44] ? The future of crypto, blockchains, and data science [50:54] ? Why a data science bootcamp helps people break into data science [53:42] Additional materials: www.superdatascience.com/625
2022-11-08
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624: Imagen Video: Incredible Text-to-Video Generation

On this week?s Five-Minute Friday, Jon Krohn investigates Imagen Video, Google?s latest model for making video art out of text prompts. Recently published, this text-to-image converter now competes against already strong competitors on the scene like DALL-E 2. Unlike DALL-E 2, it returns moving images or time-based media. Tune in to hear Jon explain the technology that made Imagen Video the tech giant?s shiniest new tool to date. Additional materials: www.superdatascience.com/624 Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
2022-11-04
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623: Data Analyst, Data Scientist, and Data Engineer Career Paths

Jon Krohn speaks with Shashank Kalanithi, the man who makes a sport out of YouTube and data analytics out of sports. Listen in as he talks about how he got started producing YouTube videos on data science, the essential differences between data science roles, and how data could shape the future of the sports industry. This episode is brought to you by Datalore (https://datalore.online/SDS), the collaborative data science platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information. In this episode you will learn: ? What motivated Shashank to start his YouTube channel [04:31] ? The must-have technical skills for every data scientist [16:59] ? The soft skills needed for data science [20:52] ? The differences between data analyst, data scientist and data engineer [24:26] ? How data are currently being applied in the sports industry [38:38] ? The ?needs? divide between digital native and traditional companies [45:34] Additional materials: www.superdatascience.com/623
2022-11-01
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622: Burnout: Causes and Solutions

Is burnout on the horizon for you and your team? Christina Maslach, author of the new book "The Burnout Challenge," joins Jon Krohn to help us identify the common signs of looming burnout while steering us in a healthier direction. Additional materials: www.superdatascience.com/622 Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
2022-10-28
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621: Blockchains and Cryptocurrencies: Analytics and Data Applications

Cryptocurrency and blockchain take center stage this week as we welcome Chief Economist at Chainalysis, Philip Gradwell, to discuss the data science applications in this exciting field. This episode is brought to you by Datalore (https://datalore.online/SDS), the collaborative data science platform, by Zencastr (zen.ai/sds), the easiest way to make high-quality podcasts, and by Bunch (superdatascience.com/bunch), the AI driven leadership coach. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information. In this episode you will learn: ? What the role of a chief economist entails [5:50] ? What are blockchains and cryptocurrency? [8:23] ? How analyzing cryptocurrencies differs from established fiat currencies [12:48] ? Philip's work at Chainalysis [26:07] ? Philip's crypto data analytics pipeline [34:48] ? How Philip develops data products for a wide range of users [46:18] ? How the blockchain facilitates innovative computing and machine learning technologies [51:52] ? What Philip looks for in the data scientists he hires [1:04:59] Additional materials: www.superdatascience.com/621
2022-10-25
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620: OpenAI Whisper: General-Purpose Speech Recognition

What?s your secret to superb audio recognition? Whisper it. We mean that literally?Whisper is the latest in OpenAI?s growing suite of models aimed to benefit humanity. On this episode of Five-Minute Friday, host Jon Krohn reviews OpenAI?s latest model, Whisper. This tool will vastly improve the way human speech is recognized and converted to text. Jon gets under the hood to show how the team managed to get such a powerfully accurate recognition model. Listen to the episode and find out how you can try it yourself, for free! Additional materials: www.superdatascience.com/620 Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
2022-10-21
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619: Tools for Deploying Data Models into Production

Jon Krohn speaks with Erik Bernhardsson, the man who invented Spotify?s original music recommendation system. They address the different ways to interview a data science candidate, how to deploy a data model into the cloud, and the approach he took that made Spotify go from a digital music startup to an AI-driven streaming giant. This episode is brought to you by Datalore (https://datalore.online/SDS), the collaborative data science platform, by Zencastr (zen.ai/sds), the easiest way to make high-quality podcasts, and by Bunch (superdatascience.com/bunch), the AI driven leadership coach. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information. In this episode you will learn: ? The data problem that Erik?s company Modal Labs solves [04:32] ? Erik?s prolific blogging career [09:15] ? Opportunities for making data teams more efficient and productive [14:42] ? Erik?s views on interviewing data scientists and software developers [20:18] ? Erik?s tips and tricks for data science interviewees [31:35] ? How Erik built Spotify?s original music recommendation system [38:58] ? Applying vectors to other tools, and opportunities for working with vectors [47:45] ? Using Annoy to search across vectors [50:57] ? Building Python module Luigi for Spotify [55:20] ? The tools that Erik loves to work with [1:06:23] Additional materials: www.superdatascience.com/619
2022-10-18
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618: The Joy of Atelic Activities

Telic and atelic activities take center stage this week as Jon Krohn contemplates how our daily actions contribute to our overall sense of fulfillment. Additional materials: www.superdatascience.com/618 Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
2022-10-14
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617: Causal Modeling and Sequence Data

Dr. Sean Taylor, Co-Founder and Chief Scientist of Motif Analytics, joins Jon Krohn this week for yet another perspective on causal modeling. Tune in for a great conversation that covers large-scale causal experimentation, Information Systems, Bayesian parameter searches, and more. This episode is brought to you by Datalore (https://datalore.online/SDS), the collaborative data science platform, and by Zencastr (zen.ai/sds), the easiest way to make high-quality podcasts. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information. In this episode you will learn: ? Sean on his new venture, Motif Analytics [4:23] ? The relationship between causality and sequence analytics [15:26] ? Sean's data science work at Lyft [22:21] ? The key investments for large-scale causal experimentation [27:25] ? Why and when is causal modeling helpful [32:34] ? Causal modeling tools and recommendations [36:52] ? Facebook's Prophet automation tool for forecasting [40:02] ? What Sean looks for in data science hires [50:57] ? Sean on his PhD in Information Systems [53:34] Additional materials: www.superdatascience.com/617
2022-10-11
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616: The Four Requirements for Expertise (beyond the ?10,000 Hours?)

10,000 hours of study: Will it make you an expert? On this episode of Five-Minute Friday, host Jon Krohn explores whether increasing your skills is just a numbers game or if there is more to becoming proficient in your area of interest, whether that?s flute playing or data wrangling. Additional materials: www.superdatascience.com/616 Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
2022-10-07
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615: How to Ace Your Data Science Interview

?Being a great data scientist? and ?being great at a data science interview? are not one and the same. Jon Krohn speaks with Nick Singh about how to strengthen your interviewee skills, and how you can even beat out more senior competition to land a coveted data science role. This episode is brought to you by Datalore (https://datalore.online/SDS), the collaborative data science platform, and by Zencastr (zen.ai/sds), the easiest way to make high-quality podcasts. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information. In this episode you will learn: ? Nick?s inspiration for writing his bestselling book, Ace the Data Science Interview [06:21] ? Why Nick believes in being a work generalist [12:37] ? How DataLemur supports emerging data scientists for free [15:43] ? Why Nick started DataLemur off the back of his book [21:31] ? Portfolio essentials for any data scientist [22:36] ? The three most common things data scientists get wrong at the interview [24:33] ? How data science introverts can shift their mindset about self-promotion [37:58] ? Great responses to end your data science interview on the right foot [42:21] Additional materials: www.superdatascience.com/615
2022-10-04
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614: Thriving on Information Overload

World-leading futurist, author and entrepreneur, Ross Dawson joins us for the first of our extended Five-Minute Friday episodes. As information overwhelm becomes increasingly unavoidable, Dawson is here to share the five powers from his new book 'Thriving on Overload', to help us transition from overwhelm into abundance. Additional materials: www.superdatascience.com/614 Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
2022-09-30
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613: Causal Machine Learning

Dr. Emre Kiciman, Senior Principal Researcher at Microsoft Research joins the podcast to share his world-leading knowledge on causal machine learning. This episode is brought to you by Datalore (https://datalore.online/SDS), the collaborative data science platform, and by Zencastr (zen.ai/sds), the easiest way to make high-quality podcasts. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information. In this episode you will learn: ? What is causal machine learning? [5:52] ? Causal machine learning vs correlational machine learning [10:10] ? Emre?s DoWhy open-source library [16:17] ? The four key steps of causal inference [21:24] ? How and why Emre?s key steps of causal inference will impact ML [26:36] ? Emre's thoughts on the future of causal inference and AGI [34:09] ? How Emre leverages social media data to solve social problems [38:36] ? What's next for Emre's research [46:02] ? The software tools Emre highly recommends [55:16] ? What he looks for in the data science researchers he hires [58:45] Additional materials: www.superdatascience.com/613
2022-09-27
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612: More Guests on Fridays

Some exciting changes are coming to our popular Five-Minute Friday series! From longer episodes to new guests, tune in to hear what's next. Additional materials: www.superdatascience.com/612 Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
2022-09-23
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611: Open-Ended A.I.: Practical Applications for Humans and Machines

Dr. Ken Stanley, a world-leading expert on Open-Ended AI and author of the genre-bending book "Why Greatness Cannot be Planned," joins Jon Krohn for a discussion that has the potential to shift your entire view on life. Tune in now to learn more about the complex topics of genetic ML algorithms, the Objective Paradox, Novelty Search, and so much more. This episode is brought to you by Zencastr (zen.ai/sds), the easiest way to make high-quality podcasts. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information. In this episode you will learn: ? Ken on his book 'Why Greatness Cannot Be Planned" and the Objective Paradox [4:15] ? The Novelty Search approach [24:14] ? How open-ended algorithms like Novelty Search can be stopped from doing something potentially dangerous [1:00:00] ? The future of open-ended AI and its intimate relationship with Artificial General Intelligence [1:07:34] ? Ken's new company [1:13:34] ? How AI could transform life for humans in the coming decades [1:18:29] Additional materials: www.superdatascience.com/611
2022-09-20
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610: Who Dares Wins

On this episode of Five-Minute Friday, host Jon Krohn shares his life motto, ?Who dares, wins?, and the sentiment behind it: that to get anywhere in life, it is first necessary to try. Jon believes that ?daring?, in this instance, simply means taking action when we have a good idea or when a new opportunity becomes available. Listen to the end for constructive advice on how to be daring in your own life right now. Additional materials: www.superdatascience.com/610 Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.
2022-09-16
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SDS 609: Data Mesh

Jon Krohn speaks with Zhamak Dehghani, the empathetic technologist who coined the term ?data mesh?. They explore what a data mesh is, and how its approach toward secure interconnectivity will help solve a roster of data-led business problems. This episode is brought to you by Zencastr (zen.ai/sds), the easiest way to make high-quality podcasts. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information. In this episode you will learn: ? The importance of data meshes [3:29] ? How standardizing database interfaces helps tech giants like Amazon [6:40] ? Current challenges with data meshes [9:33] ? How data meshes give users the freedom to work with data [17:09] ? The missing piece of the puzzle for data meshes [22:11] ? How data meshes connect with the metaverse and Web3 [33:18] ? The times when data meshes aren?t fit for purpose [42:24] Additional materials: www.superdatascience.com/609
2022-09-13
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SDS 607: Inferring Causality

Dr. Jennifer Hill, Professor of Applied Statistics at New York University, joins Jon this week for a discussion that covers causality, correlation, and inference in data science. This episode is brought to you by Pachyderm, the leader in data versioning and MLOps pipelines and by Zencastr (zen.ai/sds), the easiest way to make high-quality podcasts. In this episode you will learn: ? How causality is central to all applications of data science [4:32] ? How correlation does not imply causation [11:12] ? What is counterfactual and how to design research to infer causality from the results confidently [21:18] ? Jennifer?s favorite Bayesian and ML tools for making causal inferences within code [29:14] ? Jennifer?s new graphical user interface for making causal inferences without the need to write code [38:41] ? Tips on learning more about causal inference [43:27] ? Why multilevel models are useful [49:21] Additional materials: www.superdatascience.com/607
2022-09-09
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SDS 608: Daily Habit #11: Assigning Deliverables

Company meetings should be held to solve problems. So, why do we often feel like the weekly stand-ups and check-ins are a waste of everyone?s time? On this episode of Five-Minute Friday, host Jon Krohn brings his habit-making practices into the dreaded meeting room. Make every meeting productive and positive with his five-step method for assigning deliverables. Additional materials: www.superdatascience.com/608
2022-09-08
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SDS 606: Four Thousand Weeks

Four thousand weeks equate to roughly 80 years?a lifetime for those of us lucky enough to get there. What do we choose to do with this time? How can we stop ourselves from feeling like time in general is slipping away? In this episode, host Jon Krohn reviews the book Four Thousand Weeks: Time Management for Mortals by journalist Oliver Burkeman. He outlines how he has personally benefited from this essential reflection on our thirst for productivity and efficiency. Additional materials: www.superdatascience.com/606
2022-09-02
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SDS 605: Upskilling in Data Science and Machine Learning

Kian Katanforoosh, CEO of Workera and Lecturer at Stanford University, joins Jon Krohn to reveal the tools, frameworks, and machine learning models that power his platform and remote team. In this episode you will learn: ? What a skills intelligence platform is [3:11] ? How mentorship can be life-changing [7:45] ? Four ways that ML drives Kian?s skills intelligence platform [10:57] ? Kian's day-to-day responsibilities as the CEO of Workera [21:00] ? What frameworks and software languages Kian and his team selected for building their platform and why [24:20] ? What Kian looks for in the data scientists and software engineers he hires [31:48] ? Kian?s Stanford Deep Learning class and mentors [34:58] ? How Kian?s passion for EdTech began [42:47] Additional materials: www.superdatascience.com/605
2022-08-30
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SDS 604: Ignition: A Landmark Nuclear Fusion Milestone is Achieved

During this week's Five-Minute Friday episode features, Jon explores recent groundbreaking developments in nuclear fusion ?ignition?and what that signals for the future. Additional materials: www.superdatascience.com/604
2022-08-26
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SDS 603: Geospatial Data and Unconventional Routes into Data Careers

Christina Stathopoulos, Analytical Lead for Waze and Adjunct Professor at IE Business School, joins the podcast to shed light on her work with geospatial data and how she nurtured an entire data career while abroad in Spain. In this episode you will learn: ? Christina's tips on navigating an unconventional path into a data career [3:05] ? Geospatial data and open-source packages for working with it [10:08] ? Guidance to help women and other underrepresented groups to thrive in tech [22:28] ? The hard and soft skills most essential to success in a data role today [39:26] ? Christina?s #bookaweekchallenge and the top data-centric book recommendations [43:28] Additional materials: www.superdatascience.com/603
2022-08-23
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SDS 602: We Are Living in Ancient Times

Inspired by a quote from by science fiction writer, Teresa Nielsen Hayden, Jon Krohn reflects on the notion of living in ancient times and the machine learning-related implications that arise from this perspective. Additional materials: www.superdatascience.com/602
2022-08-19
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SDS 601: Venture Capital for Data Science

This week, Sarah Catanzaro, General Partner at Amplify Partners joins Jon for an episode that dives into the venture capital side of data science. Learn how to fund your data science business idea, take note of what start-ups can do to survive or raise capital in the current economic climate, and discover how to break into the field of venture capital yourself. In this episode you will learn: ? Angel vs. venture capital vs. private equity investment [7:27] ? How early-stage investment is made prior to a firm having product-market fit [14:33] ? How to pick winners in early-stage investments [28:08] ? Tricks to accelerating from a data science idea to obtaining funding [36:21] ? Observational causal inference [44:01] ? How to get involved in venture capital [47:37] Additional materials: www.superdatascience.com/601
2022-08-16
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SDS 600: Yoga Nidra Practice with Steve Fazzari

Rest and relaxation await as Steve Fazzari joins us this week for a special edition of the podcast! Tune in for a rejuvenating session of Yoga Nidra led beautifully by the expert. Additional materials: www.superdatascience.com/600
2022-08-12
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SDS 599: MLOps: Machine Learning Operations

This week, Mikiko Bazeley, Senior Software Engineer at Mailchimp joins the podcast to share her in-depth knowledge of MLOps: Machine Learning Operations. Tune in to hear her discuss what it entails, why it's so critical for the efficiency of any data science team, and the most important tools you need to master for career success in this field. In this episode you will learn: ? What MLOps is [11:40] ? Mikiko?s role at Mailchimp and why MLOps is critical for the efficiency of any data science team [27:11] ? The three most important MLOps tools [32:15] ? The six most essential MLOps skills for data scientists [47:01] ? The key factors Mikiko looks when hiring engineers [1:07:31] ? Mikiko?s productivity tricks for balancing software engineering, content creation, and her athletic pursuits [1:13:20] Additional materials: www.superdatascience.com/599
2022-08-09
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SDS 598: Getting Kids Excited about STEM Subjects

Ben Taylor makes a fourth appearance on Five-Minute Friday to discuss the best ways to introduce STEM to children. Tune in to hear the many ways in which he thinks STEM education will evolve in the future. Additional materials: www.superdatascience.com/598
2022-08-05
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SDS 597: A.I. Policy at OpenAI

Dr. Miles Brundage, Head of Policy Research at OpenAI, joins Jon Krohn this week to discuss AI model production, policy, safety, and alignment. Tune in to hear him speak on GPT-3, DALL-E, Codex, and CLIP as well. In this episode you will learn: ? Miles? role as Head of Policy Research at OpenAI [4:35] ? OpenAI's DALL-E model [7:20] ? OpenAI's natural language model GPT-3 [30:43] ? OpenAI's automated software-writing model Codex [36:57] ? OpenAI?s CLIP model [44:01] ? What sets AI policy, AI safety, and AI alignment apart from each other [1:07:03] ? How A.I. will likely augment more professions than it displaces them [1:12:06] Additional materials: www.superdatascience.com/597
2022-08-02
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SDS 596: The A.I. Platforms of the Future

Ben Taylor returns for a third Five-Minute Friday episode! This week, he looks ahead and digs into what we can expect from the A.I. platforms of the future. Additional materials: www.superdatascience.com/596
2022-07-29
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SDS 595: Data Engineering 101

Tune in as Joe Reis and Matt Housley, co-founders of Ternary Data and co-authors of the book ?Fundamentals of Data Engineering? join Jon Krohn to discuss major undercurrents across the data engineering lifecycle, and their top tools and techniques. In this episode you will learn: ? What is data engineering? [3:55] ? Why Joe and Matt identify as ?recovering data scientists? [6:12] ? What kinds of people tend to become data scientists vs. data engineers [10:38]? ? Key components of Joe and Matt?s book [26:31] ? Major undercurrents across the data engineering lifecycle [28:26] ? The most under-utilized tool in a data engineer's toolbox [34:39] ? How there are tradeoffs in any data pipeline latency considerations, but faster is typically the default assumption [38:55] ? Joe and Matt?s favorite data engineering tools and techniques [43:39] Additional materials: www.superdatascience.com/595
2022-07-26
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SDS 594: Why CEOs Care About A.I. More than Other Technologies

This week, Jon Krohn and A.I. industry veteran Ben Taylor discuss the driving factors that push CEOs to prioritize A.I. over other technologies. Additional materials: www.superdatascience.com/594
2022-07-22
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SDS 593: The Real-World Impact of Cross-Disciplinary Data Science Collaboration

Jon welcomes Professor Philip Bourne, Founding Dean of the School of Data Science at the University of Virginia to discuss his biomedical data science research, the importance of open-source and open-access within the industry and the data science skills you need to succeed today. In this episode you will learn: ? Why Philip founded a School of Data Science [6:08] ? How computing and data science have evolved across academic departments [15:55] ? The improvements needed in higher education [26:44] ? The most important data science skills for academia and industry and the 4+1 model [36:49] ? Philip?s biomedical data science research and its fascinating practical applications [43:24] ? The essential roles of open-source code and open-access publishing in data science [1:01:27] Additional materials: www.superdatascience.com/593
2022-07-19
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SDS 592: How to Sell a Multimillion Dollar A.I. Contract

In this episode, Jon Krohn welcomes A.I. industry veteran Ben Taylor to discuss how to sell multimillion dollar A.I. contracts. Tune in to hear why trust and proof of value are some of the critical steps in his sales process. Additional materials: www.superdatascience.com/592
2022-07-15
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SDS 591: Simulations and Synthetic Data for Machine Learning

Mars Buttfield-Addison, PhD Candidate at the University of Tasmania, joins Jon Krohn for a high-energy episode covering everything from Machine Learning simulations to Swift, space junk, and more! In this episode you will learn: ? What simulations and synthetic data are, and why they can be invaluable for real-life applications [5:47] ? How simulated bots can solve any problem [9:07] ? Practical uses of simulated data [21:49] ? Why the mobile operating system language Swift is interesting for A.I. [25:46] ? Why it's critical to track the amount of junk in space [35:47] ? Whether programming or statistical skills are more important in data science [47:05] ? What it?s like creating video games in a "secret" games lab [56:45] ? Why you might want to do a data science internship in industry before pursuing in academia [ 1:01:54] Additional materials: www.superdatascience.com/591
2022-07-12
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SDS 590: Artificial General Intelligence is Not Nigh (Part 2 of 2)

In this episode, Jon continues his two-part series on artificial general intelligence (AGI) and why we are unlikely to realize it anytime soon. Listen in as Jon reviews Meta's Yann LeCun's seven-part perspective on the topic. Additional materials: www.superdatascience.com/590
2022-07-08
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SDS 589: Narrative A.I. with Hilary Mason

Hilary Mason, Co-Founder and CEO of Hidden Door, joins Jon Krohn for a live discussion that explores narrative A.I., emerging ML techniques, and how her OSEMN data science process developed. In this episode you will learn: ? How narrative A.I. can assist creativity [5:14] ? How to build ML products that have no quantitative error function to optimize [10:31] ? How to ensure creative A.I. systems do not output non-sense or explicit content [16:58] ? Hilary's OSEMN data science process [21:05] ? The emerging ML technique she?s most excited about [24:58] ? What it takes to be successful as CEO of an early-stage A.I. company [27:20] ? What she looks for in engineering hires [32:28] ? How she?s hopeful A.I. will transform our lives for the better in the decades to come [38:48] Additional materials: www.superdatascience.com/589
2022-07-05
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SDS 588: Artificial General Intelligence is Not Nigh

In this episode, Jon kicks off a two-part series that sees him explore the popular topic of artificial general intelligence and why it might?or might not?be only a few years away. Listen in as Jon explains the several reasons why he doesn't believe that AGI is nigh. Additional materials: www.superdatascience.com/588
2022-07-01
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SDS 587: Data Engineering for Data Scientists

Mark Freeman, Senior Data Scientist at Humu, joins Jon Krohn to talk about all things data engineering and offers listeners some critical tips for their data science career journey ? from what it takes to get promoted to his number one tip for getting hired at a fast-growing capital-backed startup. In this episode you will learn: ? How Humu leverages data and machine learning to improve workplace behaviors [10:38] ? What is data engineering? [14:21] ? What it takes to get promoted into more senior data science roles [20:55] ? The differences between junior, senior, and staff data scientists [30:21] ? Mark?s top tools for data extraction, modeling, and pipeline engineering [37:08] ? Mark?s number one tip for getting hired at a fast-growing venture capital-backed startup [53:10] ? Why all data scientists should be interested in Web3 [1:11:53] Additional materials: www.superdatascience.com/587
2022-06-28
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SDS 586: Daily Habit #10: Limit Social Media Use

In this episode, Jon dives into the popular topic of social media and its impact on his productivity. Tune in to hear how minimizing the use of social media can positively impact your days, mental health and work. Additional materials: www.superdatascience.com/586
2022-06-24
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SDS 585: PyMC for Bayesian Statistics in Python

In this episode, Dr. Thomas Wiecki, Core Developer of the PyMC Library and CEO of PyMC Labs, joins Jon for a masterclass in Bayesian statistics. Tune in to hear about PyMC, and discover why Bayesian statistics can be more powerful and interpretable than any other data modeling approach. In this episode you will learn: ? What Bayesian statistics is [7:30] ? Why Bayesian statistics can be more powerful and interpretable than any other data modeling approach [17:20] ? How PyMC was developed [20:41] ? Commercial applications of Bayesian stats [43:07] ? How to build a successful company culture [1:03:14] ? What Thomas looks for when hiring [1:11:13] ? Thomas?s top resources for learning Bayesian stats yourself [1:13:57] Additional materials: www.superdatascience.com/585
2022-06-21
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SDS 584: OpenAI Codex

In this episode, Jon reviews the remarkable natural language model Codex by OpenAI. Learn why it has amassed a waitlist and how you can leverage its practical applications in your work. Additional materials: www.superdatascience.com/584
2022-06-17
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SDS 583: The State of Natural Language Processing

In this episode, natural language processing (NLP) expert and Lead Data Scientist at CB Insights, Rongyao Huang, joins Jon Krohn to discuss NLP. Listen in for a thorough review of the field over the past decade and how the coming iron age of NLP will help us overcome the limitations of today's approaches. In this episode you will learn: ? The evolution of NLP techniques over the past decade [4:14] ? What's next in the coming iron age of NLP [35:33] ? Rongyao?s Bauhaus-inspired model for effective data science [43:12] ? Rongyao's long-term career pathfinding framework [51:50] ? Rongyao?s top tips for staying sane while juggling career and family [1:00:30] Additional materials: www.superdatascience.com/583
2022-06-14
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SDS 582: Model Speed vs Model Accuracy

In this episode, Jon wraps up his three-part series on business value and machine learning. Listen in as he explains why starting with simple models is best, and why speed is likely more important to your users than accuracy. Additional materials: www.superdatascience.com/582
2022-06-10
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SDS 581: Bayesian, Frequentist, and Fiducial Statistics in Data Science

In this episode founding Editor-in-Chief of the Harvard Data Science Review and Professor of Statistics at Harvard University, Prof. Xiao-Li Meng, joins Jon Krohn to dive into data trade-offs that abound, and shares his view on the paradoxical downside of having lots of data. In this episode you will learn: ? What the Harvard Data Science Review is and why Xiao-Li founded it [5:31] ? The difference between data science and statistics [17:56] ? The concept of 'data minding' [22:27] ? The concept of 'data confession' [30:31] ? Why there?s no ?free lunch? with data, and the tricky trade-offs that abound [35:20] ? The surprising paradoxical downside of having lots of data [43:23] ? What the Bayesian, Frequentist, and Fiducial schools of statistics are, and when each of them is most useful in data science [55:47] Additional materials: www.superdatascience.com/581
2022-06-07
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SDS 580: Collecting Valuable Data

In this episode, Jon resumes his series on strategies for getting business value from machine learning. Part one saw him review several ways to identify a commercial problem before starting data collection or ML model development. And now, in part two, Jon digs into the data collection process. Additional materials: www.superdatascience.com/580
2022-06-03
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SDS 579: Transforming Dentistry with A.I.

In this episode, the CEO of Overjet, Dr. Wardah Inam, joins Jon Krohn to discuss the classification and quantification of dental diagnoses with computer vision, her data labeling challenges, and tips for building a successful A.I. business. In this episode you will learn: ? How Overjet leverages computer vision to qualify and quantify dental diagnoses [5:11] ? How A.I. solutions reduce the under-diagnosis of common diseases like periodontal disease [8:15] ? Overjet's particular ML challenges within the dental industry [15:45] ? Wardah's experience in introducing A.I. to the dental industry [20:12] ? Wardah's tips for building a successful A.I. business [23:34] ? What she looks for in the data scientists and software engineers she hires [39:36] Additional materials: www.superdatascience.com/579
2022-05-31
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