Super Data Science: ML & AI Podcast with Jon Krohn

Economist and social-impact innovator Dr. Nat Ware reveals how our expectations shape happiness and why chasing it often leaves us unfulfilled. He shares insights on the “hedonic treadmill” and the effects of constant comparison on our well-being. Find out how to build a more meaningful life by making memories, taking chances, and focusing on genuine connections.

Additional materials: www.superdatascience.com/836

Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

AI systems are evolving rapidly, and in this episode, Bryan McCann, CTO of You.com, explains You.com’s unique approach to search, the impact of AI-driven research, and the game-changing potential of AI agents. With a background in natural language processing and philosophy, Bryan joins Jon Krohn to share a fresh perspective on where AI is headed and what it means for the future of work and scientific discovery.

Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

In this episode you will learn:

• (03:55) How You.com’s “do engine” approach connects users to multiple language models
• (11:34) How AI systems at You.com generate optimized, intent-driven queries for better results
• (28:39) You.com’s focus on automated workflows sets it apart from other platforms
• (31:31) AI agents in You.com, with Bryan predicting they’ll outnumber people by 2025
• (41:49) Bryan’s path to unified AI models that can perform diverse tasks
• (50:40) Early experiments with alignment in AI that influenced modern transformers
• (01:04:45) Bryan’s research on controllable text generation
• (01:11:27) Language models applied to protein generation, linking text and biology sequences

Additional materials: www.superdatascience.com/835

Jon Krohn starts the month with his round-up of favorite clips from the previous month. Hear from Bradley Voytek, Natalie Monbiot, Luca Antiga, Chad Sanderson, and Ritchie Vink in conversations about the ongoing potential of AI.  

Additional materials: www.superdatascience.com/834

Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

Martin Goodson speaks to Jon Krohn about what he would add to his viral article “Ten Ways Your Data Project is Going to Fail”, why practitioners always need to be present at AI policy discussions, and Evolution AI’s breakthroughs in computer vision and NLP.

This episode is brought to you by epic LinkedIn Learning instructor Keith McCormick. Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

In this episode you will learn:

• (04:25) What Evolution AI does 
• (11:41) How to maintain accuracy in large infrastructures
• (21:22) How to cultivate innovation and creativity while meeting market demands
• (24:27) Potential knowledge gaps for machine learning practitioners
• (30:57) Martin’s viral article, “Ten Ways Your Data Project is Going to Fail”
• (59:54) Strategies for the UK to become a key player in AI

Additional materials: www.superdatascience.com/833

Host Jon Krohn unpacks Dario Amodei’s vision of a techno-utopia in his essay Machines of Loving Grace, where “Powerful AI” takes center stage. Amodei, CEO of Anthropic, imagines a future where AI doesn’t just assist but actively shapes fields like healthcare, economics, and governance with unmatched intelligence and autonomy. Jon explores the possibilities and challenges of this AI-driven future, asking how close we are to seeing these revolutionary shifts and what they mean for society.

Additional materials: www.superdatascience.com/832

Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

PyTorch Lightning is revolutionizing the AI landscape, and Dr. Luca Antiga, CTO of Lightning AI, joins host Jon Krohn to explain how. In this episode, they explore the tools pushing AI development forward, from Lightning Studios to Lit-Serve, and discuss the game-changing rise of small language models that challenge industry giants with precision and speed. Luca also shares his vision for developers in an AI-enhanced world, where coding meets creativity and collaboration with intelligent tools.

This episode is brought to you by epic LinkedIn Learning instructor Keith McCormick, and by ODSC, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

In this episode you will learn:

• How Lightning AI's open-source tools make AI development faster [11:30]
• The rise of small language models and how they'll rival LLMs [37:47]
• Luca's journey from biomedical imaging to deep learning pioneer [52:03]
• How AI will transform software developer tasks [1:03:05]

Additional materials: www.superdatascience.com/831

Geoffrey Hinton and Sir Demis Hassabis: The Nobel Prize committee is an achievement of the highest order, awarding physicists, chemists, physiologists, medical practitioners, writers, pacifists and economists perhaps the greatest honor in their respective fields. In this week’s Five-Minute Friday, Jon Krohn discusses how two AI pioneers came to win prizes in chemistry and physics.

Additional materials: www.superdatascience.com/830

Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

Neuroscientist Bradley Voytek outlines to Jon Krohn the incredible use of data science and machine learning in his research and how recent discoveries in action potentials and neurons have completely skyrocketed the field to a new understanding of the brain and its functions. You’ll also hear what Bradley thinks is most important when hiring data scientists and his contributions to Uber’s algorithm when it was still a startup. 

This episode is brought to you by epic LinkedIn Learning instructor Keith McCormick, and by Gurobi, the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

In this episode you will learn:

• Breakthroughs in brain region communication [04:08]
• The future of brain research and MedTech [35:24]
• The libraries and software used at the Halicioglu Data Science Institute [45:11]
• Brain rhythm as a diagnostic tool [1:02:58]
• Bradley’s curriculum structure at UC San Diego [1:12:21]
• How Uber applies data science [1:20:07]

Additional materials: www.superdatascience.com/829

The citizen data scientist: Fact or fiction? Jon Krohn holds a conversation across episodes in this Five-Minute Friday, with today’s guest Keith McCormick, in part responding to Nick Elprin’s interview in episode 811: Scaling Data Teams Effectively.

Additional materials: www.superdatascience.com/828

Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

Ritchie Vink, CEO and Co-Founder of Polars, Inc., speaks to Jon Krohn about the new achievements of Polars, an open-source library for data manipulation. This is the episode for any data scientist on the fence about using Polars, as it explains how Polars managed to make such improvements, the APIs and integration libraries that make it so versatile, and what’s next for this efficient library.

This episode is brought to you by epic LinkedIn Learning instructor Keith McCormick, by Gurobi, the Decision Intelligence Leader, and by ODSC, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

In this episode you will learn:

• Why Polars is so efficient [05:20]
• Polars’ easy integration with other data-processing tools [21:23]
• Eager vs lazy executive in Polars [32:15]
• Polars’ data processing of large- and small-scale datasets [38:28]
• Ritchie’s plans to scale his company [46:14]
• Upcoming features in Polars [58:06]

Additional materials: www.superdatascience.com/827

Next-gen IDEs, efficiency-boosting open-source Python libraries, and changes in hiring for data scientists: This episode of In Case You Missed It gives you our best clips of September’s interviews, hosted by Jon Krohn.

Additional materials: www.superdatascience.com/826

Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

Data contracts are redefining data quality and governance, and Chad Sanderson, CEO of Gable.ai, joins host Jon Krohn to explain how they can transform your data strategy. He breaks down what data contracts are, how they shift data quality checks closer to production, and why they’re essential for reducing data debt. Chad also highlights how better alignment between data producers and consumers can elevate data reliability and tackle change-management challenges in modern organizations.

This episode is brought to you by epic LinkedIn Learning instructor Keith McCormick, and by Gurobi, the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

In this episode you will learn:

• What data contracts are and how they define expectations for data quality [03:16]
• What data contracts look like [09:09]
• The common misconceptions about data quality when implementing AI [12:55]
• Chad’s Chief Operator role at Data Quality Camp [19:46]
• How “shifting left” improves data reliability by addressing issues early [24:17]
• Why data professionals still struggle with data quality [30:31]
• How data debt forms and why it leads to complex, inefficient architectures [35:53]
• How will the role of human oversight evolve in ensuring data quality? [47:12]
• How can data teams leverage storytelling? [52:33]

Additional materials: www.superdatascience.com/825

Llama 3.2 brings a new era of AI innovation with lightweight models tailored for on-device applications and powerful vision models for handling complex image inputs. Host Jon Krohn explores how this release pushes the boundaries of open-source AI, making it more accessible and versatile for developers. He also covers the Llama Stack toolkit, designed to streamline deployment, and Llama Guard 3, Meta’s latest content moderation solution. With extensive support from major cloud and hardware partners, Llama 3.2 is set to unlock groundbreaking possibilities for AI across mobile and beyond. Tune in to hear more.

Additional materials: www.superdatascience.com/824

Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

Virtual humans are rewriting the rules of digital communication and reshaping entire industries. This week, Jon Krohn welcomes Natalie Monbiot, Head of Strategy at Hour One, to shed light on how AI avatars are revolutionizing L&D and e-commerce by turning traditional training and product listings into captivating, presenter-led content.

This episode is brought to you by epic LinkedIn Learning instructor Keith McCormick, by Gurobi, the Decision Intelligence Leader, and by ODSC, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

In this episode you will learn:

• How do you create a virtual being? [10:55]

• Reid Hoffman's avatar [13:40]

• The virtual human economy [31:07]

• Virtual human societies [51:24]

• Virtual humans and creative expression [56:35]

• Challenges in maintaining transparency [01:00:22]

Additional materials: www.superdatascience.com/823

NotebookLM, Google’s latest AI tool, takes content creation to a new level. This week, Jon Krohn shares how the platform transformed his 200-page dissertation into a fascinating 11-minute podcast. Discover how AI can turn vast amounts of information into engaging and digestible content, opening up new possibilities for content creation.

Additional materials: www.superdatascience.com/822



Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

Marck Vaisman speaks to Jon Krohn about his paradigm for understanding core data practitioner types. Hear Marck detail the four data practitioner personas that he has identified in his research, why he believes the roadmaps that influencers like to promote as surefire ways to a data science career don’t work in practice, and why the term “data scientist” is still so elusive and hard to recruit for.

This episode is brought to you by Gurobi, the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

In this episode you will learn:

• How Marck started his work in defining data science roles [08:06]

• The relationship between the four data practitioner personas [15:26]

• About Marck’s “menu” for effective data science [40:43]

• How recruiters can hire the best data scientist for the job [59:31]

Additional materials: www.superdatascience.com/821

Jon Krohn takes OpenAI’s new models (o1-preview and o1-mini) for a spin in this Five-Minute Friday, learning their key strengths and limitations, and how the o1 series may represent yet another landmark for generative AI.

Additional materials: www.superdatascience.com/820



Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

SuperDataScience veteran and Udemy teacher Luka Anicin is on the podcast to talk about his brand-new course, “PyTorch: From Zero to Hero”, available exclusively on superdatascience.com. Host Jon Krohn asks Luka why he feels that every data scientist should consider PyTorch as their default Python library, and why “keeping it simple” can secure the success of a machine learning project.

This episode is brought to you by AWS Inferentia and AWS Trainium, and by Gurobi, the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

In this episode you will learn:

• About the PyTorch library [03:29]

• Why PyTorch became so popular [25:24]

• How to increase accuracy and efficiency in PyTorch [31:49]

• How to utilize transfer learning [35:44]

• Why real-world projects are essential to data scientists [41:10]

• About Datablooz [46:49]

Additional materials: www.superdatascience.com/819

Experts from AI and data science discuss the impact and benefits of decentralization, the importance of structuring AI systems in business, and why knowing the basics will always matter for data engineers. Listen to Shingai Manjengwa (episode 809), Daniel Hulme (episode 807), Jerry Yurchisin (episode 813) and Nick Elprin (episode 811) explore a future world of work that rewards continuing learners, sets tasks for the people best suited to complete them rather than those whose job titles reflect the spec, and applies a fleet of ‘AI agents’ to solve complex business tasks.

Additional materials: www.superdatascience.com/818



Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

Dr. Julia Silge, Engineering Manager at Posit, introduces the brand-new Positron IDE, perfect for exploratory data analysis and visualization. She also lays out her top picks for LLMs that boost coding efficiency and discusses when traditional NLP methods might be the smarter choice over LLMs. Plus, Julia highlights some must-know open-source libraries that make managing MLOps easier than ever. Tune in for insights that every data scientist, ML engineer, and developer will find useful.

This episode is brought to you by Gurobi, the Decision Intelligence Leader, and by ODSC, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

In this episode you will learn:

• Overview of Posit and Positron IDE [05:20]

• How the needs of a data scientist differ from those of a software developer [10:54]

• How to contribute to the open-source Positron [19:50]

• MLOps and Vetiver: Tools for deploying and maintaining ML models [37:01]

• Natural Language Processing (NLP) and the Tidyverse approach [50:34]

• The role of AI and LLMs in data science education [1:24:18]

Additional materials: www.superdatascience.com/817

Jon Krohn takes on a listener's challenge to explain his work in data science to his 94-year-old grandmother, Annie. This heartwarming conversation covers what data is, the role of a data scientist, and breaks down artificial intelligence (AI) and artificial general intelligence (AGI) in simple terms. The episode provides a fresh take on how to communicate complex topics to a lay audience, offering both clarity and insight.

Additional materials: www.superdatascience.com/816



Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

Polars, Python, Narwhals, Rust, and Pandas: Marco Gorelli talks to Jon Krohn about the many ways to use the newest data libraries available, the joys of open-source development, and the best method to win prizes in forecasting competitions.

This episode is brought to you by AWS Inferentia and AWS Trainium, by Babbel, the science-backed language-learning platform, and by Gurobi, the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

In this episode you will learn:

• When to use Polars vs Pandas [08:26]

• How Polars optimizes string operations and data processing [20:08]

• Where Narwhals outstrips Polars and Pandas [48:37]

• The benefits of using Altair [55:21]

• Addressing the lack of women in data science [1:09:58]

• How to win a forecasting competition [1:16:58]

Additional materials: www.superdatascience.com/815

As summer winds down, this episode shifts focus from the usual tech discussions to something more personal: reflecting on the importance of balancing work with life’s simple pleasures. While the world of data science and AI continues to evolve rapidly, it's essential to remember that true success isn't just about professional milestones. It’s also about cherishing the moments that make life meaningful. Tune in for a brief but impactful reflection on how to redefine success to include not just achievements, but also the everyday joys that often go unnoticed.

Additional materials: www.superdatascience.com/814



Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

Jerry Yurchisin from Gurobi joins Jon Krohn to break down mathematical optimization, showing why it often outshines machine learning for real-world challenges. Find out how innovations like NVIDIA’s latest CPUs are speeding up solutions to problems like the Traveling Salesman in seconds.

Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

In this episode you will learn:

• The Burrito Optimization Game and mathematical optimization use cases [03:36]

• Key differences between machine learning and mathematical optimization [05:45]

• How mathematical optimization is ideal for real-world constraints [13:50]

• Gurobi’s APIs and the ease of integrating them [21:33]

• How LLMs like GPT-4 can help with optimization problems [39:39]

• Why integer variables are so complex to model [01:02:37]

• NP-hard problems [01:11:01]

• The history of optimization and its early applications [01:26:23]

Additional materials: www.superdatascience.com/813

In this episode of Five-Minute Friday, Jon Krohn investigates published findings from the startup Sakana AI and its paper’s co-authors from the University of Oxford, the University of British Columbia and the Vector Institute in Toronto. These authors explore the potential of The AI Scientist, a framework that could change the way we conduct scientific research forever.

Additional materials: www.superdatascience.com/812



Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

Nick Elprin talks to Jon Krohn about how and when to scale a data science team and its workflows to secure a company’s commercial viability. You’ll also hear how to launch your own data science startup and why it’s so important to understand that AI tools are not one-size-fits-all.

This episode is brought to you by AWS Inferentia and AWS Trainium. Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

In this episode you will learn:

• How Nick served enterprises with his AI startup, Domino Data Lab [05:36]

• About the Navy’s own mine detection models [17:43]

• The hype surrounding GenAI [30:35]

• How AI platforms integrate with business strategies [39:49]

• When it’s time to integrate an AI tool into your business [51:12]

• Why Nick started Domino Data Lab [1:03:53]

Additional materials: www.superdatascience.com/811

Self-driving cars are here, and Jon Krohn is breaking down the five levels of automation that could change driving forever. From full human control at Level 0 to cars that drive themselves in any condition at Level 5, get the real story on what these levels mean. With firsthand insights from a recent autonomous vehicle experience, this episode cuts through the buzz and tells you what’s coming next.

Additional materials: www.superdatascience.com/810



Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

Agentic AI is revolutionizing the tech landscape, and Shingai Manjengwa from ChainML is here to tell us why. Discover how AI agents are becoming an integral part of our lives, automating tasks like travel bookings and daily inspiration. Shingai explains the power of multi-agent systems, where AI agents collaborate to solve complex challenges, and highlights how blockchain technology is enhancing AI transparency and trust. Plus, get an inside look at ChainML’s innovative Theoriq protocol and the groundbreaking Council Analytics tool.

This episode is brought to you by Gurobi, the Decision Intelligence Leader, and by ODSC, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

In this episode you will learn:

• What A.I. agents are [10:51]

• How blockchain technology helps humans trust A.I. agents [18:27]

• The Theoriq protocol developed by ChainML [34:05]

• How Council Analytics lets you “speak” to their dataset with natural language [39:00]

• A future of multi-agent systems [50:42]

• Challenges and risks associated with agentic AI [1:04:17]

Additional materials: www.superdatascience.com/809

Advice for emerging data scientists, the latest in model merging, and how GenAI can supercharge your creativity: Host Jon Krohn gives us his highlights from a month of interviews, packed with tips from some of the leading names in data science and beyond. Guests include Daliana Liu, Charles Duhigg, Charles Goddard, Rosanne Liu and Andrey Kurenkov.

Additional materials: www.superdatascience.com/808



Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

The singularity could soon be upon us. The PESTLE framework, developed by this episode’s guest Daniel Hulme, expresses not one but six types of singularity that could occur: political, environmental, social, technological, legal and economic. Jon Krohn and Daniel Hulme discuss how each of these singularities could bring good to the world, aligning with human interests and pushing forward progress. They also talk about neuromorphic computing, machine consciousness, and applying AI at work.

This episode is brought to you by AWS Inferentia and AWS Trainium, and by Gurobi, the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

In this episode you will learn:

• About the six singularities [03:43]

• How the singularity could improve life on earth [09:01]

• The credibility of AI experts [32:51]

• How the decentralization of technology could benefit earth [43:14]

• How AI might enhance creativity [1:04:33]

Additional materials: www.superdatascience.com/807

Llama 3.1 is here, and it’s a game-changer. Meta’s latest AI model, especially the massive 405B variant, finally brings an open-source option to compete with giants like OpenAI's GPT-4o and Anthropic's Claude 3.5 Sonnet. While Meta didn’t fully open-source everything, the availability of "open weights" is a strategic move to shake up the AI landscape. The model boasts an impressive 128,000-token context window and multilingual support in eight languages. Meta is also focusing on responsible AI development with tools like Llama Guard 3 for content moderation. This release is more than just a tech upgrade—it's about democratizing AI and sparking innovation across industries. How will you leverage Llama 3.1 to make a real impact? Tune into this week’s FMF episode and let’s explore the future with this latest AI development together.

Additional materials: www.superdatascience.com/806

Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

Become a Supercommunicator! New York Times bestselling author Charles Duhigg, known for The Power of Habit and Smarter Faster Better, gets real about mastering communication in this episode. Discover insights from his latest book, Supercommunicator, where he reveals how to align conversation styles for deeper connections, handle conflicts effectively, and why AI can't replicate the emotional depth of human interactions.

This episode is brought to you by Gurobi, the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

In this episode you will learn:

• The inspirations behind Supercommunicator [03:41]

• The three types of conversations: Practical, emotional, and social conversations [05:22]

• The matching principle: Align communication styles for better connection [10:36]

• What is neural entrainment: Achieve a mind meld through synchronized brain activity [13:22]

• The series of steps/principles to connect with someone [24:39]

• How to avoid or de-escalate conflict conversations [31:07]

• The impact of GenAI on conversations: How AI mimics dialogue but lacks emotional depth [45:24]

Additional materials: www.superdatascience.com/805

Solar power now provides 6% of the world's electricity, thanks to rapid growth. Host Jon Krohn discusses the factors driving this rise, the challenges ahead, and how AI and data science are optimizing solar technologies. Tune in for insights on the future of solar power, and don't forget to like, share, and subscribe!

Additional materials: www.superdatascience.com/804

Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

Daliana Liu is a big name in data science teaching, and she has always been generous in sharing everything she knows about getting a job in data science. In this episode, she continues to extend her generosity, helping listeners define their approach to achieving a fulfilling career in data science and tech.

This episode is brought to you by AWS Inferentia and AWS Trainium, by Babbel, the science-backed language-learning platform, and by Gurobi, the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

In this episode you will learn:

• Common career challenges for data scientists [34:57]

• Advice for people who don’t know where to go in their career [48:05]

• How to build resilience and protect against Imposter Syndrome [1:06:23]

• Skills that data scientists should develop today [1:39:17]

• The future of the data science and AI job market [1:46:55]

Additional materials: www.superdatascience.com/803

How to grab investor interest with your AI startup idea, revisiting algorithms, and helping practitioners ensure AI safety with regulatory frameworks and beyond: This month, you missed a whole bunch of great interviews. But don’t worry, Jon Krohn is here to recap all the best bits for you!

Additional materials: www.superdatascience.com/802

Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

Merged LLMs are the future, and we’re exploring how with Mark McQuade and Charles Goddard from Arcee AI on this episode with Jon Krohn. Learn how to combine multiple LLMs without adding bulk, train more efficiently, and dive into different expert approaches. Discover how smaller models can outperform larger ones and leverage open-source projects for big enterprise wins. This episode is packed with must-know insights for data scientists and ML engineers. Don’t miss out!

Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

In this episode you will learn:

• Explanation of Charles' job title: Chief of Frontier Research [03:31]

• Model Merging Technology combining multiple LLMs without increasing size [04:43]

• Using MergeKit for model merging [14:49]

• Evolutionary Model Merging using evolutionary algorithms [22:55]

• Commercial applications and success stories [28:10]

• Comparison of Mixture of Experts (MoE) vs. Mixture of Agents [37:57]

• Spectrum Project for efficient training by targeting specific modules [54:28]

• Future of Small Language Models (SLMs) and their advantages [01:01:22]

Additional materials: www.superdatascience.com/801

The SuperDataScience Podcast is celebrating its 800th episode! Host Jon Krohn speaks to his grandmother, Annie, about growing up at a time when so many technologies we take for granted today were yet to be developed. Listen in to hear Annie’s experience of the changes in technology across 94 years and how she and her family fared in 1940s Ukraine with no electricity or running water.

Additional materials: www.superdatascience.com/800

No-code games with GenAI, the creative possibilities of LLMs, and our proximity to AGI: In this episode, Jon Krohn talks to Andrey Kurenkov about what turned him from an AGI skeptic to a positivist. You’ll also hear about his wildly popular podcast “Last Week in AI” and how the NVIDIA-backed startup Astrocade is helping videogame enthusiasts to create their own games through generative AI. A must-listen!

This episode is brought to you by AWS Inferentia and AWS Trainium. Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

In this episode you will learn:

• All about The Gradient and Last Week in AI [10:42]

• All about Astrocade and Andrey’s role at the startup [24:35]

• Balancing UX and creative control at Astrocade [42:00]

• The creative possibilities of LLMs [1:04:15]

• The rapid emergence of AGI [1:10:31]

Additional materials: www.superdatascience.com/799

Claude 3.5 Sonnet, Anthropic’s newest model, is making waves in the AI community. This mid-size model outshines the larger Claude 3 Opus in tasks like code generation, content creation, and document summarization, and it’s twice as fast. In this episode of The Super Data Science Podcast, Jon Krohn discusses its top-notch performance across benchmarks like MMLU, GPQA, and HumanEval, along with its improved machine vision capabilities. Plus, learn about the new Artifacts UI feature, which makes managing generated content easier by displaying outputs side-by-side with inputs. Tune in to find out why Claude 3.5 Sonnet is setting new standards in AI.

Additional materials: www.superdatascience.com/798

Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

Dr. Rosanne Liu, Research Scientist at Google DeepMind and co-founder of the ML Collective, shares her journey and the mission to democratize AI research. She explains her pioneering work on intrinsic dimensions in deep learning and the advantages of curiosity-driven research. Jon and Dr. Liu also explore the complexities of understanding powerful AI models, the specifics of character-aware text encoding, and the significant impact of diversity, equity, and inclusion in the ML community. With publications in NeurIPS, ICLR, ICML, and Science, Dr. Liu offers her expertise and vision for the future of machine learning.

Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

In this episode you will learn:

• How the ML Collective came about [03:31]

• The concept of a failure CV [16:12]

• ML Collective research topics [19:03]

• How Dr. Liu's work on the “intrinsic dimension” of deep learning models inspired the now-standard LoRA approach to fine-tuning LLMs [21:28]

• The pros and cons of curiosity-driven vs. goal-driven ML research [29:08]

• Discussion on Dr. Liu's research and papers [33:17]

• Character-aware vs. character-blind text encoding [54:59]

• The positive impacts of diversity, equity, and inclusion in the ML community [57:51]

Additional materials: www.superdatascience.com/797

Want to feel optimistic about your day? In this Friday episode, Simon Kuestenmacher talks to Jon Krohn about demography: What it is, why it’s so important, and why its forecasts should give us reason to hope for a better future. In an increasingly globalized world, and with an aging population in countries with the biggest GDPs, demography is more valuable than ever.

Additional materials: www.superdatascience.com/796

Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

Gina Guillaume-Joseph talks to Jon Krohn about the data and regulatory frameworks set to transform the AI industry and why that’s important to anyone working with data. This episode offers a solid path to understanding AI regulation’s past, present and future. Gina walks listeners through the AI Bill of Rights, the NIST AI Risk Framework and the MITRE ATLAS threat model.

This episode is brought to you by AWS Inferentia and AWS Trainium, by Crawlbase, the ultimate data crawling platform, and by Babbel, the science-backed language-learning platform. Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

In this episode you will learn:

• What “responsible AI” means [08:14]

• Why the federal government should be behind AI regulation [12:22]

• The US vs EU on AI regulation [18:46]

• About the AI Bill of Rights [26:14]

• About MITRE and the MITRE Atlas [37:19]

• What a systems engineer does [54:11]

Additional materials: www.superdatascience.com/795

Trends in open-source AI: Join Jon Krohn and a panel of data science icons as they discuss the most exciting and concerning developments in open-source AI. Hear insights from Drew Conway, Jared Lander, Emily Zabor, and JD Long on the transformative potential of AI and its future impact.

Additional materials: www.superdatascience.com/794

Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

Bayesian methods take the spotlight in this episode with Alex Andorra, co-founder of PyMC Labs, and Jon Krohn. Learn how Bayesian techniques handle tough problems, make the most of prior knowledge, and work wonders with limited data. Alex and Jon break down essentials like PyMC, PyStan, and NumPyro libraries, show how to boost model efficiency with PyTensor, and talk about using ArviZ for top-notch diagnostics and visualizations. Plus, get into advanced modeling with Gaussian Processes.

This episode is brought to you by Crawlbase, the ultimate data crawling platform. Interested in sponsoring a SuperDataScience Podcast episode? Email [email protected] for sponsorship information.

In this episode you will learn:

• Practical introduction to Bayesian statistics [04:54]

• Definition and significance of epistemology [17:52]

• Explanation of PyMC and Monte Carlo methods [27:57]

• How to get started with Bayesian modeling and PyMC [34:26]

• PyMC Labs and its consulting services [50:50]

• ArviZ for post-modeling diagnostics and visualization [01:02:23]

• Gaussian processes and their applications [01:09:02]

Additional materials: www.superdatascience.com/793

Jon Krohn shares his favorite clips from May. Hear how Navdeep Martin is spearheading a company to tackle the climate crisis, why Sol Rashidi and Demetrios Brinkmann find nailing job titles so necessary in the fast-paced industries of tech and AI, and get the latest on embeddings with Luis Serrano.

Additional materials: www.superdatascience.com/792

Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

Reinforcement learning through human feedback (RLHF) has come a long way. In this episode, research scientist Nathan Lambert talks to Jon Krohn about the technique’s origins of the technique. He also walks through other ways to fine-tune LLMs, and how he believes generative AI might democratize education.

This episode is brought to you by AWS Inferentia (go.aws/3zWS0au) and AWS Trainium (go.aws/3ycV6K0), and Crawlbase (crawlbase.com), the ultimate data crawling platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

In this episode you will learn:

• Why it is important that AI is open [03:13]

• The efficacy and scalability of direct preference optimization [07:32]

• Robotics and LLMs [14:32]

• The challenges to aligning reward models with human preferences [23:00]

• How to make sure AI’s decision making on preferences reflect desirable behavior [28:52]

• Why Nathan believes AI is closer to alchemy than science [37:38]

Additional materials: www.superdatascience.com/791

The experts reveal their top open-source R libraries with us live from the New York R Conference! This Super Data Science Podcast episode features an exclusive panel with data science trailblazers Drew Conway, Jared Lander, Emily Zabor, and JD Long. They share their favorite R libraries and valuable insights to enhance your data science practice.

Additional materials: www.superdatascience.com/790

Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

Machine Learning for Wind Energy is front and center in this episode as Jon Krohn is joined by Dr. Jason Yosinski, CEO of Windscape AI. Dr. Yosinski brings to light the latest ML advancements sparking significant changes in renewable energy. Tune in for a comprehensive review of these cutting-edge technologies and their expansive impact on the industry and the environment's well-being.

This episode is brought to you by Crawlbase, the ultimate data crawling platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

In this episode you will learn:

• Enhancing predictability in wind energy with ML [04:52]

• Data utilization from wind turbines by energy providers [11:41]

• Jason's journey into wind energy [17:55]

• Landing the right startup idea [22:47]

• Visualizing neural networks with the Deep Vis Toolbox [31:29]

• Extreme event forecasting at Uber vs. nowcasting at Windscape AI [45:13]

• Discoveries from Loss Change Allocation research [47:48]

• Engaging with Jason's ML Collective [59:46]

• Traits of successful AI entrepreneurs [1:10:26]

Additional materials: www.superdatascience.com/789

Multi-agent systems could mark a significant turning point in generative AI. From mastering increasingly complex tasks to getting LLMs to collaborate, in this Five-Minute Friday, Jon Krohn discusses the systems that are working to bridge the remaining gaps left by the latest large language models (LLMs).

Additional materials: www.superdatascience.com/788

Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

MLOps, how to build an online community, and tools for scaling LLMs: In this episode, Demetrios Brinkmann speaks to Jon Krohn about the similarities and differences between LLMOps, MLOps and DevOps, and why this should matter to companies looking to hire such engineers. You will also hear how to get involved in the MLOps community wherever you are in the world, and how you can start developing great products with the available tools.

This episode is brought to you by AWS Inferentia (go.aws/3zWS0au) and AWS Trainium (go.aws/3ycV6K0). Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

In this episode you will learn:

• What MLOps is [03:51]

• About LLMOps [12:06]

• About LlamaIndex and Ollama [18:29]

• Insights from Demetrios’ MLOps survey [20:49]

• Guidance for using third-party APIs [40:18]

• Recommendations for building an online community in tech and AI [47:07]

Additional materials: www.superdatascience.com/787

Learn about the six keys to data science success as host Jon Krohn welcomes back Kirill Eremenko, the mastermind behind SuperDataScience. Kirill shares his top insights on data science careers, from building strong portfolios to leveraging mentors and hands-on labs. With over 2.7 million students, his advice is a must-hear for aspiring and experienced data scientists alike.

Additional materials: www.superdatascience.com/786

Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

Dr. Luis Serrano from the Serrano Academy reveals how to make Math and Quantum ML accessible, tackles the challenges of teaching A.I. to beginners, and explores the power of embeddings in enterprise applications. Explore the future of Quantum Machine Learning and the latest trends in AI, including multimodality and autonomous systems.

This episode is brought to you by AWS Inferentia and AWS Trainium. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

In this episode you will learn:
• How math and AI can be made easy to understand [05:21]
• The three major categories of learners [16:21]
• Why embeddings are the most important component of LLMs [26:19]
• How semantic search differs from a traditional keyword search [29:57]
• The most exciting emerging application areas for AI [42:41]
• The promising application areas for Quantum Machine Learning [49:18]

Additional materials: www.superdatascience.com/785

Aligning LLMs: How can we teach pre-trained LLMs to hold a conversation and learn new information from each other? This was where Sinan Ozdemir began his investigation into aligning LLMs. In this episode, he talks to Jon Krohn about the limitations of definitions for LLMs, training LLMs, and whether it is possible to train an LLM without alignment.

Additional materials: www.superdatascience.com/784

Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

Recent advances in GenAI, how to tackle the climate crisis with advanced technology, and addressing the knowledge gap in understanding AI: Jon Krohn speaks to Flypower co-founder and CEO Navdeep Martin about the advances made in GenAI, from products to applications, and how we might use AI to tackle climate change.

This episode is brought to you by AWS Inferentia and AWS Trainium. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

In this episode you will learn:
• How the Washington Post’s recommendation systems work [03:29]
• Why product leaders make great CEOs [10:36]
• How Flypower uses GenAI to tackle climate change [22:13]
• How Flypower identifies its customers’ most pertinent questions [30:03]
• How AI might come to tackle climate change [36:52]
• How to mitigate hallucination in AI models [41:04]

Additional materials: www.superdatascience.com/783

Hear Jon Krohn’s favorite five clips from his April interviews. Chief Scientist at Posit PBC Hadley Wickham on the subtle differences between Python and R. Professor of Business Analytics Barrett Thomas walks through the variables that companies should consider when using drones or any other tech to improve their business operations and bottom line. Aleksa Gordić, Founder of Runa AI believes an overhaul of the current educational system is long overdue. Bernard Marr discusses the future of GenAI and its impact on the world of work. And SuperDataScience founder Kirill Eremenko gives a lively workshop on gradient boosting.

Additional materials: www.superdatascience.com/782

Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

Sol Rashidi, a distinguished data executive who has served in C-suite roles at Fortune 100 companies, joins Jon Krohn to delve into successful enterprise AI strategies and the reasons behind the high turnover among Chief Data Officers. This episode provides an in-depth look at selecting AI projects that succeed and understanding the strategic value of patents in various industries. Benefit from Sol’s extensive experience and practical advice on navigating complex corporate challenges.

This episode is brought to you by AWS Inferentia and AWS Trainium. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

In this episode you will learn:
• How CDOs and related roles have such high turnover because [09:40]
• The importance of building relationships in AI projects [17:01]
• How Sol's book "The AI Survival Guide" came about [20:44]
• How high-criticality, low-complexity AI projects are the ones with the highest probability of success [27:11]
• How Enterprise data security issues can be resolved with technologies like Protopia’s stained-glass data-masking solution [36:10]
• Why having great data engineers is essential [47:57]
• The value of patents [51:45]

Additional materials: www.superdatascience.com/781

Want to become a data scientist? Jon and Adam discuss the key steps to becoming a data scientist, with a focus on developing portfolio projects. Hear about the 10 project ideas Adam recommends in his book to help you stand out in the data science community.

Additional materials: www.superdatascience.com/780

Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

Tidyverse, ggplot2, and the secret to a tech company’s longevity: Hadley Wickham talks to Jon Krohn about Posit’s rebrand, Tidyverse and why it needs to be in every data scientist’s toolkit, and why getting your hands dirty with open-source projects can be so lucrative for your career.

This episode is brought to you by Intel and HPE Ezmeral Software. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

In this episode you will learn:
• All about the Tidyverse [04:46]
• Hadley’s favorite R libraries [17:10]
• The goal of Posit [30:29]
• On bringing multiple programming languages together [36:02]
• The principles for a long-lasting tech company [52:10]
• How Hadley developed ggplot2 [55:24]
• How to contribute to the open-source community [1:05:43]

Additional materials: www.superdatascience.com/779

Mixtral 8x22B is the focus on this week's Five-Minute Friday. Jon Krohn examines how this model from French AI startup Mistral leverages its mixture-of-experts architecture to redefine efficiency and specialization in AI-powered tasks. Tune in to learn about its performance benchmarks and the transformative potential of its open-source license.

Additional materials: www.superdatascience.com/778

Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

Generative AI is reshaping our world, and Bernard Marr, world-renowned futurist and best-selling author, joins Jon Krohn to guide us through this transformation. In this episode, Bernard shares his insights on how AI is transforming industries, revolutionizing daily life, and addressing global challenges. With his extensive experience advising top organizations worldwide, he also examines the ethical considerations of AI deployment.

This episode is brought to you by Intel and HPE Ezmeral Software. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

In this episode you will learn:
• How Generative AI will transform industries [03:55]
• The evolution of Generative AI [10:19]
• How will Generative AI impact daily life [16:52]
• The ethical challenges of AI [18:55]
• How corporations can harness Generative AI for collaboration [24:36]
• Industries that will be impacted by Generative AI [32:20]
• How Sora-like Generative AI systems will create highly immersive entertainment [42:16]
• How Generative AI could unlock 99% of business data [53:34]

Additional materials: www.superdatascience.com/777

What are the risks of AI progressing beyond a point of no return? What do we stand to gain? On this Five-Minute Friday, Jon Krohn talks ‘books’ as he outlines two nonfiction works on AI and futurism by Oxford philosopher Nick Bostrom. Listen to a breakdown of Deep Utopia and Superintelligence in this episode.

Additional materials: www.superdatascience.com/776

Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

Tech entrepreneurship, artificial superintelligence, and the future of education: Aleksa Gordić speaks to Jon Krohn about his strategies for self-directed learning, the traits that help people succeed in moving from big tech to entrepreneurship, and the social impact of artificial superintelligence.

This episode is brought to you by Ready Tensor, where innovation meets reproducibility. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

In this episode you will learn:
• How to motivate yourself to become a tech entrepreneur [17:02]
• Aleksa’s checklist for the perfect CTO [35:00]
• Potential sustainable solutions for LLMs [41:51]
• The next major developments in AI and tech [48:29]
• How hobbies have a knock-on effect for a person’s career [1:01:53]
• How and why formal education needs to change [1:09:24]

Additional materials: www.superdatascience.com/775

Covariant's RFM-1: Jon Krohn explores the future of AI-driven robotics with RFM-1, a groundbreaking robot arm designed by Covariant and discussed by A.I. roboticist Pieter Abbeel. Explore how this innovation aims to merge digital intelligence with the physical world, promising a new era of efficiency and autonomy.

Additional materials: www.superdatascience.com/774

Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

Dr. Barrett Thomas, an award-winning Research Professor at the University of Iowa, explores the intricacies of Markov decision processes and their connection to Deep Reinforcement Learning. Discover how these concepts are applied in operations research to enhance business efficiency and drive innovations in same-day delivery and autonomous transportation systems.

This episode is brought to you by Ready Tensor, where innovation meets reproducibility. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

In this episode you will learn:
• Barrett's start in operations logistics [02:27]
• Concorde Solver and the traveling salesperson problem [09:59]
• Cross-function approximation explained [19:13]
• How Markov decision processes relate to deep reinforcement learning [26:08]
• Understanding policy in decision-making contexts [33:40]
• Revolutionizing supply chains and transportation with aerial drones [46:47]
• Barrett’s career evolution: past changes and future prospects [52:19]

Additional materials: www.superdatascience.com/773

Pytorch benefits, how to get funding for your AI startup, and managing scientific silos: In our new series for SuperDataScience, “In Case You Missed It”, host Jon Krohn engages in some “reinforcement learning through human feedback” of his own with need-to-hear sound bites from past SDS episodes!

Additional materials: www.superdatascience.com/772

Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

Kirill Eremenko joins Jon Krohn for another exclusive, in-depth teaser for a new course just released on the SuperDataScience platform, “Machine Learning Level 2”. Kirill walks listeners through why decision trees and random forests are fruitful for businesses, and he offers hands-on walkthroughs for the three leading gradient-boosting algorithms today: XGBoost, LightGBM, and CatBoost.

This episode is brought to you by Ready Tensor, where innovation meets reproducibility, and by Data Universe, the out-of-this-world data conference. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

In this episode you will learn:
• All about decision trees [09:17]
• All about ensemble models [21:43]
• All about AdaBoost [36:47]
• All about gradient boosting [45:52]
• Gradient boosting for classification problems [59:54]
• Advantages of XGBoost [1:03:51]
• LightGBM [1:17:06]
• CatBoost [1:32:07]

Additional materials: www.superdatascience.com/771

Explore the science of confidence with Lucy Antrobus, as she unveils neuroscience-backed strategies to build and boost confidence through practice, positive energy, and the power of laughter. An essential listen for fostering unshakable self-assurance.

Additional materials: www.superdatascience.com/770

Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

Generative AI in medicine takes center stage as Prof. Zachary Lipton, Chief Scientific Officer at Abridge, joins host Jon Krohn to discuss the significant advancements in AI that are reshaping healthcare.

This episode is brought to you by the DataConnect Conference, and by Data Universe, the out-of-this-world data conference. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

In this episode you will learn:
• The inspiration for Zack to get started in ML and healthcare [03:56]
• The hardware required to use Abridge [12:29]
• The key data science projects at Abridge right now [35:05]
• Abridge's tech stack [59:54]
• How Abridge ensures reliability in a high-stakes setting like healthcare [1:07:29]
• How Zack’s academic research cross-pollinates with his commercial ML projects [1:21:05]
• How Zack’s jazz background molded his entrepreneur and data science journey [1:30:32]

Additional materials: www.superdatascience.com/769

Claude 3, LLMs and testing ML performance: Jon Krohn tests out Anthropic’s new model family, Claude 3, which includes the Haiku, Sonnet and Opus models (written in order of their performance power, from least to greatest). Can it stand shoulder to shoulder with other models such as GPT-4 and Gemini 1.0 Ultra? And how important is it for machine learning practitioners to try out these models with their own benchmarks? Jon walks listeners through a test of his own in this Five-Minute Friday.

Additional materials: www.superdatascience.com/768

Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

Jon Krohn sits down with Sebastian Raschka to discuss his latest book, Machine Learning Q and AI, the open-source libraries developed by Lightning AI, how to exploit the greatest opportunities for LLM development, and what’s on the horizon for LLMs.

This episode is brought to you by the DataConnect Conference, and by Data Universe, the out-of-this-world data conference. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

In this episode you will learn:
• All about Machine Learning Q and AI [04:13]
• Sebastian Raschka’s role as Staff Research Engineer at Lightning AI [19:21]
• PyTorch Lightning’s and Lightning Fabric’s capabilities [39:32]
• Large language models: Opportunities and challenges [43:35]
• DoRA vs LoRA [48:56]
• How to be a successful AI educator [1:34:18]

Additional materials: www.superdatascience.com/767

Kurt Vonnegut's "Player Piano" delivers striking parallels between its dystopian vision and today's AI challenges. This week, Jon Krohn explores the novel's depiction of a world where humans are marginalized by machines, reflecting on the impact of automation on society and the ethical considerations it raises. Tune in as we unpack the timeless relevance of Vonnegut's work to the AI era.

Additional materials: www.superdatascience.com/766

Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

Explore the origins of NumPy and SciPy with their creator, Dr. Travis Oliphant. Discover the journey from personal need to global impact, the challenges overcome, and the future of these essential Python libraries in scientific computing and data science.

This episode is brought to you by the DataConnect Conference, by Data Universe, the out-of-this-world data conference, and by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

In this episode you will learn:
• Travis's journey to creating NumPy and SciPy [08:05]
• How Anaconda got started [42:24]
• How Numba, a high-performance Python compiler, was brought to market [54:48]
• Python's influence on the thought processes of scientists and engineers [1:04:21]
• The commercial projects that support Travis’s vast open-source efforts and communities [1:10:22]
• How to get involved in Travis's commercial projects and communities [1:22:34]
• The future of scientific computing and Python libraries [1:29:50]

Additional materials: www.superdatascience.com/765

Data science futurists, bestselling authors, and lively how-to guides from the industry’s top practitioners, which range from applying data science for good to using open-source tools for NLP: This is The Super Data Science Podcast’s top ten most listened-to episodes in 2023, hosted by Jon Krohn. A great snapshot of our great content from 2023.

Additional materials: www.superdatascience.com/764

Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

At Glasswing Ventures, Rudina Seseri wants to be able to answer the question: What has Glasswing Ventures done for the company beyond capital investment? She speaks to Jon Krohn about how her company uses data to assess venture capital investments, the secret sauce of successful AI startups, and why she feels generative AI is only the start of a much broader impact that AI will make in communities and businesses.

This episode is brought to you by the DataConnect Conference, and by Ready Tensor, where innovation meets reproducibility. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

In this episode you will learn:
• Potential interest areas for Series A AI venture capitalists [12:22]
• How Glasswing’s AI Palette helps AI startups [23:06]
• How data driven the venture capital industry is [27:21]
• Advice for adopting services from AI providers [47:21]
• Model collapse: Causes and concerns [58:44]
• Glasswing’s checklist for AI startups [1:04:59]

Additional materials: www.superdatascience.com/763

Jon Krohn presents an insightful overview of Google's groundbreaking Gemini Pro 1.5, a million-token LLM that's transforming the landscape of AI. Discover the innovative aspects of Gemini Pro 1.5, from its extensive context window to its multimodal functionalities, which are broadening the scope of AI technology and signifying a significant leap in data science. Plus, join Jon for a practical demonstration, showcasing the real-world applications, capabilities, and limitation of this advanced language model.

Additional materials: www.superdatascience.com/762

Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

Google's Gemini Ultra takes the spotlight this week, as host Jon Krohn welcomes Lisa Cohen, Google's Director of Data Science and Engineering, for a conversation about the launch of Gemini Ultra. Discover the capabilities of this cutting-edge large language model and how it stands toe-to-toe with GPT-4. Lisa shares her insights on the development, rollout, and potential of Gemini Ultra in reshaping various sectors. Whether you're a data science professional, tech enthusiast, or curious about the future of AI, this episode offers a deep dive into one of the most significant advancements in artificial intelligence.

This episode is brought to you by Ready Tensor, where innovation meets reproducibility, and by Intel and HPE Ezmeral Software Solutions. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

In this episode you will learn:
• Google’s Gemini model family and Lisa's key responsibilities [04:55]
• How LLMs will transform the practice of Data Science [19:47]
• Lisa on prompt engineering and reinforcement learning from human feedback [24:38]
• How to fine-tune Gemini models with Google's Vertex AI [30:52]
• How AI-assistants will transform life and work for everyone from data scientists to educators to children [47:14]
• The challenges of developing a data-centric culture [57:31]
• Centralized vs decentralized data science teams [1:03:50]

Additional materials: www.superdatascience.com/761

AI-crafted beer, machine learning for passion projects, and self-taught data science: Jon Krohn and Beau Warren’s hotly anticipated, data-driven, punny lager Krohn&Borg is finally given a taste test in this week’s Five-Minute Friday. Heading to the Species X brewery in Columbus, Ohio, Jon Krohn and Beau Warren launched the beer that had been predicted, optimized and developed by a machine-learning model.

Additional materials: www.superdatascience.com/760

Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

Encoders, cross attention and masking for LLMs: SuperDataScience Founder Kirill Eremenko returns to the SuperDataScience podcast, where he speaks with Jon Krohn about transformer architectures and why they are a new frontier for generative AI. If you’re interested in applying LLMs to your business portfolio, you’ll want to pay close attention to this episode!

This episode is brought to you by Ready Tensor, where innovation meets reproducibility, by Oracle NetSuite business software, and by Intel and HPE Ezmeral Software Solutions. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

In this episode you will learn:
• How decoder-only transformers work [15:51]
• How cross-attention works in transformers [41:05]
• How encoders and decoders work together (an example) [52:46]
• How encoder-only architectures excel at understanding natural language [1:20:34]
• The importance of masking during self-attention [1:27:08]

Additional materials: www.superdatascience.com/759

Explore the groundbreaking Mamba model, a potential game-changer in AI that promises to outpace the traditional Transformer architecture with its efficient, linear-time sequence modeling.

Additional materials: www.superdatascience.com/758

Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

Explore mind-blowing storytelling with Cole Nussbaumer Knaflic in this episode. Audience favorite and author of "Storytelling with You," Cole returns to share essential tips for crafting impactful presentations, emphasizing narrative construction and audience engagement. Learn how to effectively communicate data and stories, enhancing your presentations with insights from a leading expert in the field.

This episode is brought to you by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

In this episode you will learn:
• How to become a confident communicator [11:59]
• How to get rid of filler words [26:32]
• How facts alone can't make a strong impact [41:44]
• Cole's overview of her book Storytelling with You [55:19]
• How to craft an effective presentation [1:00:24]
• Common mistakes in virtual presentations [1:09:48]
• Cole's virtual presentation setup [1:15:33]
• Cole's next book Daphne Draws Data [1:20:23]

Additional materials: www.superdatascience.com/757

AlphaGeometry, intuitive AI, and geometric deduction: In this week’s Five-Minute Friday, Super Data Science host Jon Krohn looks into developments from DeepMind, Google’s ground-breaking AI lab, and explores how this is a critical step towards a future of broadly accessible AI solutions across scientific disciplines.

Additional materials: www.superdatascience.com/756

Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

ChatGPT applications and data-driven beer: Beer brewer and Super Data Science regular listener Beau Warren talks to Jon Krohn about the wonders of “sweaty ales”, how to brew beer with data, and how to get started on creative machine learning projects even without a degree in data science.

This episode is brought to you by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

In this episode you will learn:
• About Species X [06:31]
• How to become a certified beer taster [12:37]
• How Beau checks the quality of his beer [25:01]
• Beau and Jon’s machine learning project [38:02]
• About genetic algorithms [52:35]
• How to get creativity out of LLMs [1:24:46]

Additional materials: www.superdatascience.com/755

Explore the future of coding with poolside co-founder and CEO Jason Warner as he explores the potential of code-specialized LLMs and their revolutionary impact on the developer's role. Tune in for insights on the shift towards an AI-led development paradigm.

Additional materials: www.superdatascience.com/754

Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

Explore the future of collaborative ML workflows in this engaging episode with Dr. Greg Michaelson, Co-Founder of Zerve. Dr. Michaelson introduces the groundbreaking Zerve IDE and Pypelines project, addressing the critical gap in AutoML for commercial use and pinpointing why many A.I. projects don't meet their objectives. Gain insights into steering AI initiatives towards success and enhancing project communication, all in this insightful session.

This episode is brought to you by Oracle NetSuite business software, and by Prophets of AI, the leading agency for AI experts. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

In this episode you will learn:
• Why Zerve IDE is so sorely needed [04:50]
• Pypelines: AutoML open-source in python [30:00]
• Why most commercial A.I. projects fail and how to ensure they succeed [47:45]
• How AutoML will impact the role of the data scientist [53:21]
• Greg's background as a pastor and working at DataRobot [1:03:40]
• How to develop impressive communication and storytelling skills [1:16:16]

Additional materials: www.superdatascience.com/753

Jon Krohn interviews Hilke Schellmann about the ethics of recruitment algorithms, the field’s current state of play, and what can be improved about AI used in recruiting.

Additional materials: www.superdatascience.com/752

Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

Venture capital and AI, and how to succeed with an AI company in 2024: Rasmus Rothe, Cofounder of Merantix, speaks to Jon Krohn about the Merantix campus in Berlin, how a venture capitalist identifies the best AI startups, the surefire ways for AI company founders to raise venture capital, and the jobs that are most and least vulnerable to disruption by automation.

This episode is brought to you by Oracle NetSuite business software, by QuickChat customized AI assistants, and by Prophets of AI, the leading agency for AI experts. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

In this episode you will learn:
• How Merantix started [05:17]
• How does Merantix work and how to apply for funding [08:19]
• How to secure AI funding [21:02]
• How AI companies can prove competitiveness [33:46]
• Ensuring AI regulation [41:17]
• How AI will change the future of work [56:56]

Additional materials: www.superdatascience.com/751

Explore the transformative power of AI in science. Jon Krohn reviews the groundbreaking AI-driven discoveries at MIT and beyond, showcasing how AI is reshaping various scientific fields, from pharmaceuticals to climate science, and pondering the balance between AI's capabilities and human ingenuity.

Additional materials: www.superdatascience.com/750

Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

Data science for clean energy takes center stage as Emily Pastewka from Palmetto joins Jon Krohn this week, exploring innovative paths to a sustainable future. This episode covers the impact of AI on smart energy choices, the creation of a smart grid, and the wide array of professionals required to bring cleantech data solutions to life.

This episode is brought to you by Prophets of AI, the leading agency for AI experts. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

In this episode you will learn:
• Emily on her Master's in Deep Learning [08:20]
• Using AI to solve clean energy challenges at Palmetto [17:22]
• The different roles needed to solve cleantech problems [27:33]
• How econometrics impacts consumer decision-making [38:56]
• How Emily manages high-performing teams [56:30]
• The tools and technologies that drive small teams [1:06:58]

Additional materials: www.superdatascience.com/749

Artificial General Intelligence gets a new definition: This episode introduces Google DeepMind’s paper, “Levels of AGI: Operationalizing Progress on the Path to AGI”. Hear how its authors have organized narrow and general AI into hierarchical categories defined by human capability, from Level 0 (no AI) and Level 1 (equal to or somewhat better than an unskilled human) to Level 5 (able to outperform 100% of humans). A scary thought? Or a vision of a better future? Host Jon Krohn details the strengths of this research in this Five-Minute Friday.

Additional materials: www.superdatascience.com/748

Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

Attention and transformers in LLMs, the five stages of data processing, and a brand-new Large Language Models A-Z course: Kirill Eremenko joins host Jon Krohn to explore what goes into well-crafted LLMs, what makes Transformers so powerful, and how to succeed as a data scientist in this new age of generative AI.

This episode is brought to you by Intel and HPE Ezmeral Software Solutions, and by Prophets of AI, the leading agency for AI experts. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

In this episode you will learn:
• Supply and demand in AI recruitment [08:30]
• Kirill and Hadelin's new course on LLMs, “Large Language Models (LLMs), Transformers & GPT A-Z” [15:37]
• The learning difficulty in understanding LLMs [19:46]
• The basics of LLMs [22:00]
• The five building blocks of transformer architecture [36:29]
- 1: Input embedding [44:10]
- 2: Positional encoding [50:46]
- 3: Attention mechanism [54:04]
- 4: Feedforward neural network [1:16:17]
- 5: Linear transformation and softmax [1:19:16]
• Inference vs training time [1:29:12]
• Why transformers are so powerful [1:49:22]

Additional materials: www.superdatascience.com/747

Jon’s continuous calendar for 2024 is here! Now in an updated format, learn about its unique layout and benefits, and how it can revolutionize your planning for the new year

Additional materials: www.superdatascience.com/746

Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

2024 data science trends take the spotlight in this special episode, where Jon joins Sadie St. Lawrence to analyze last year's predictions and delve into the emerging technologies reshaping the field. From AI hardware accelerators to the transformative role of large language models, this episode is a treasure trove of insights for anyone interested in the future of data science.

This episode is brought to you by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

In this episode you will learn:
• Reviewing predictions for 2023 [05:56]
• Sadie's trend predictions for 2024 [20:49]
• 1: Hardware evolution [21:17]
• 2: LLMOS [35:30]
• 3: Slow-thinking model [48:18]
• 4: Tool consolidation [54:46]
• 5: Workforce Upheaval [58:06]
• Jon's predictions [1:06:26]
• 1: AI bubble bursting [1:08:11]
• 2: Breakthroughs in Edge AI [1:12:22]
• Sadie on her productivity planner [1:17:50]

Additional materials: www.superdatascience.com/745

2023: A year of great movement and change. Technological developments have rocketed generative AI’s capabilities into the stratosphere of possibilities for future approaches to work, health, and play. Host Jon Krohn recognizes the benefits we have seen over the past year, discusses the important role we all have in ensuring ethics remains at the core of AI development and use, and he ends the year with a musical surprise for his listeners!

Additional materials: www.superdatascience.com/744

Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

Chatbots, large language models and generative AI: Founder of Quickchat AI Piotr Grudzień believes the key to any successful AI platform is to ensure it can be tailored to a company’s specific needs. He speaks to host Jon Krohn about helping clients generate realistic and satisfying conversations that help their customer base find what they need quickly.

This episode is brought to you by Gurobi, the Decision Intelligence Leader,  and by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

In this episode you will learn:
• About Quickchat AI and how it works [02:46]
• How to successfully set up a conversational AI [23:58]
• What “temperature” is in the context of AI [38:38]
• How the LLM landscape has changed in recent years [40:24]
• The future of generative AI [57:43]
• The advantages of an AI accelerator [1:09:38]

Additional materials: www.superdatascience.com/743

Join us on a brief journey through the AI world in 2023. A year ago, GPT-3.5 crafting our holiday message was a marvel, but now, with GPT-4's arrival, we're seeing an even more astounding evolution in AI. As we wave goodbye to the trend of generative AI, the Super Data Science Podcast team is bringing a personal touch back. Tune in for our heartfelt Happy Holidays message and a big thank you to all our listeners for your unwavering support.

Additional materials: www.superdatascience.com/742

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Data visualization remains at the forefront as Dr. Alberto Cairo from the University of Miami guides us beyond numerical figures, exploring the art of weaving compelling narratives through data. In his book, "The Art of Insight," he reveals the varied motivations driving visualization experts and highlights the serene, meditative process inherent in crafting visualizations. Emphasizing the fusion of scientific principles and personal style for effective data communication, Dr. Cairo also discusses with Jon the impending impact of AI on both interactive and static graphics.

This episode is brought to you by Gurobi, the Decision Intelligence Leader, by Intel and HPE Ezmeral Software Solutions, and by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• Alberto's book, The Art of Insight [04:07]
• How to transform data into engaging visuals [07:06]
• What it takes to enter in a meditation-like flow state when creating visualizations [11:21]
• How balancing the science of visualization with one’s personal style [29:29]
• The importance of Smart Brevity for great data visualizations [37:32]
• How data visualization can drive social change [42:31]
• How diversity in designers enriches the field [52:07]
• The future of data visualizations [59:10]

Additional materials: www.superdatascience.com/741

Sam Altman’s exit and rehiring, AGI, and OpenAI’s Q*: In this week’s Five-Minute Friday, Jon Krohn peeks behind the curtains of OpenAI, where development of the world’s first model that can solve complex, nonlinear logical problems, Q*, might be well underway. This episode casts light on the rumors behind OpenAI’s Q*, what its emergence could mean for the future of AI, and the controversies already surrounding an agent that has not yet reached the market.

Additional materials: www.superdatascience.com/740

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

AI Protein design, machine learning and cancer care, and pharmaceuticals: At Exazyme, CEO and Co-Founder Ingmar Schuster uses AI to design proteins. He speaks with Jon Krohn about their wider applications in pharmaceuticals and chemistry, how Kernel methods make the design of synthetic biological catalysts more efficient, and when to use shallow machine learning over deep learning.

This episode is brought to you by Gurobi, the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• On designing proteins with AI [03:14]
• Designing proteins at Exazyme [08:22]
• About the kernel methods [18:10]
• The importance of human-led approaches in protein research [35:44]
• Europe’s focus on AI regulation [43:45]
• Deep vs shallow in AI [59:35]
• How a background in academia helps with entrepreneurship [1:09:17]

Additional materials: www.superdatascience.com/739

Bioengineering and Generative AI converge under the visionary leadership of Dr. Pierre Salvy at Cambrium GmbH, propelling material science into uncharted territories. He sits down with Jon Krohn live at Merantix A.I. Campus in Berlin to discuss how he's transforming material design, exemplified by his swift development of NovaColl, a vegan collagen crafted within two years.

Additional materials: www.superdatascience.com/738

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

scikit-learn co-founder Gaël Varoquaux and Jon Krohn are live at the historic Sorbonne in Paris, where they discuss the evolution of scikit-learn. From its origins as a memory-efficient Python implementation of support vector machines to its present-day status as a pivotal resource in machine learning, Gaël paints a vivid picture of its remarkable growth. Join us for a glimpse into scikit-learn's evolution, the realm of open-source collaboration, and the transformative power of data-driven insights in today's dynamic data landscape.

This episode is brought to you by Gurobi, the Decision Intelligence Leader, by Data Universe, the out-of-this-world data conference, and by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• The early beginnings and growth of scikit-learn [05:34]
• Development principles of scikit-learn [18:05]
• How to apply scikit-learn to your ML problem [21:16]
• Resource-efficiency and scikit-learn development [25:32]
• How to contribute to an open-source project like scikit-learn yourself [38:21]
• The future of scikit-learn [51:13]
• Gaël on the social-impact data projects in his Soda lab [1:02:33]
• Why domain expertise and statistical rigor are more important than ever [1:11:24]

Additional materials: www.superdatascience.com/737

AI certification and EU regulation: Jan Zawadzki, CTO and CO Managing Director of Certif.ai, talks to Jon Krohn about the future of certification for AI startups and keeping within rigorous international regulations.

Additional materials: www.superdatascience.com/736

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Artificial General Intelligence, AlphaGo, and Google DeepMind: Jon Krohn speaks to Mehdi Ghissassi, Director of Product Management at Google DeepMind, about the ethics and social impact of AI, keeping up with AI releases with safety in mind, and other pressing AI problems that keep him awake at night. In this episode, Mehdi and Jon also take a broader look at the current AI landscape, the opportunities for AI investors and startups, and what AI product managers need to get ahead.

This episode is brought to you by Gurobi, the Decision Intelligence Leader,  and by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• How DeepMind seeks to ‘solve intelligence’ [05:14]
• The impact of AGI’s capabilities on medicine [16:37]
• How the general public might come to apply future AI systems [28:09]
• How working on product development for Africa has shaped Mehdi’s perspective on AI’s potential and challenges [37:17]
• How to stay on top of rapid changes in AI [39:17]
• What investors look for in AI startups [59:16]
• Tips for product managers [1:03:34]

Additional materials: www.superdatascience.com/735

Robot Soccer takes center stage as Jon Krohn and Dário Catarrinho, Secretary of the Dutch Nao Team and an AI student at the University of Amsterdam, discuss the intricate machine learning that enables robots to navigate the field, make decisions in real-time, respond to sound, and compete against each other in a gripping display of skill and strategy.

Additional materials: www.superdatascience.com/734

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Yannic Kilcher, a leading ML YouTuber and DeepJudge CTO, teams up with Jon Krohn this week to delve into the open-source ML community, the technology powering Yannic’s Swiss-based startup, and the significant implications of adversarial examples in ML. Tune in as they also unpack Yannic's approach to tracking ML research, future AI prospects and his startup challenges.

This episode is brought to you by Gurobi, the Decision Intelligence Leader,  and by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• About OpenAssistant project [03:39]
• Alignment issues in open-source vs closed-source [08:36]
• Alternative formulas vital for crafting superior LLMs [20:29]
• Strategies to foster open-source LLM ecosystems [27:07]
• Yannic's pioneering work in legal document processing at DeepJudge [31:31]
• Comprehensive overview of adversarial examples [1:04:02]
• The future AI's landscape [1:18:08]
• Startup challenges [1:25:35]

Additional materials: www.superdatascience.com/733

Exploring our vast universe, in this episode Jon Krohn meets with Daniela Huppenkothen at the University of Amsterdam's astronomy department for a wide-ranging discussion about building instrumentation for telescopes, collecting data from outer space and how to sort astronomy’s problem of enormous amounts of data.

Additional materials: www.superdatascience.com/732

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Ethics and machine intelligence pioneer Nell Watson speaks to host Jon Krohn about the differences between AI ethics and AI safety, how crying wolf may result in future complications for AI development and the importance of ensuring IEEE standards to mitigate and regulate AI risks. She also touches on what she considers a “second Enlightenment”, in which we may start to form intimate relationships with AI—to both parties’ benefit.

This episode is brought to you by Gurobi, the Decision Intelligence Leader,  and by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• AI ethics and AI safety [05:30]
• How "moving fast" could break the world [18:07]
• The shifting relationship between humans and machines [29:54]
• International ethics standards, and their review process [52:10]
• Current and future ethical standards [1:05:31]
• Building a universal basic income with AI [1:19:23]

Additional materials: www.superdatascience.com/731

In this episode, Kyle Daigle, COO of GitHub, joins Jon Krohn to discuss the transformative impact of generative AI tools like GitHub Copilot. Learn how these tools streamline software development, enhance collaboration, and accelerate code reviews. Discover innovative approaches to collaboration and innersourcing, reshaping the future of teamwork in the digital age.

Additional materials: www.superdatascience.com/730

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Dr. Blake Richards discusses the world of AI and human cognition this week. Learn about the essence of intelligence, the ways AI research informs our understanding of the human brain, and discover the potential future scenarios where AI and humanity might intersect.

This episode is brought to you by Gurobi, the Decision Intelligence Leader,  and by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• Blake's research and his take on intelligence [09:56]
• How we can evaluate progress in artificial general intelligence [15:54]
• Blake's thoughts on biomimicry [20:57]
• Why Blake thinks the fears regarding AI are overdone [25:38]
• The most effective strategies to mitigate AI fears without hindering innovation [35:31]
• What steps can we take to ensure that AI supports human flourishing [45:23]
• The importance of interpreting neuroscience data through the lens of ML [55:08]
• Backpropagation, gradient descent and the brain [1:17:32]

Additional materials: www.superdatascience.com/729

Learn how to achieve human-like outputs from LLMs in this week’s Five-Minute Friday with Jon Krohn. Understand the various current methods available to decode and generate text, as well as the differences between them. Find out about greedy search, beam search, sampling, and contrastive search, and how you can use them to create incredibly useful LLMs.

Additional materials: www.superdatascience.com/728

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Coded bias, intersectionality in AI, and computer vision: Founder of the Algorithmic Justice League Joy Buolamwini talks to host Jon Krohn about the impact of exclusion and inclusion in datasets, the need to address intersectionality when identifying racial, age, or gender-based prejudice in machine learning tools, protections for artists and creative practitioners against AI, and the role that AI may have in combating systemic racism.

This episode is brought to you by Gurobi, the Decision Intelligence Leader,  and by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• What coded bias is [06:49]
• The problem with bias in machine learning datasets [18:41]
• The Incoding Movement [42:08]
• About the Pilot Parliaments Benchmark [52:07]
• Ethics and the future of AI [1:20:10]
• The potential for AI to end systemic racism [1:32:59]

Additional materials: www.superdatascience.com/727

Ben Jones, CEO of Data Literacy, discusses the seven crucial components of effective data leadership. From ethics to technology and fostering a data-centric culture, Jones provides actionable insights and practical examples. Tune in to empower your organization with purposeful and ethical data strategies from day one.

Additional materials: www.superdatascience.com/726

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Dr. Kim Stachenfeld, Research Scientist at Google DeepMind and Affiliate Professor at Columbia University, delves into the realms of AI and neuroscience as she discusses computer-based simulations of the human brain, the efficiency of language in compression, and the neuroscience theories shaping the future of artificial intelligence. Discover the secrets behind memory formation, cognitive enhancement, and the potential of Artificial General Intelligence (AGI) in this thought-provoking episode.

This episode is brought to you by Gurobi, the Decision Intelligence Leader,  and by ODSC, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• The importance of simulations in the context of human intelligence [05:44]
• The basic approach to simulating human intelligence or physical systems [09:30]
• Will simulations help us realize AGI? [37:21]
• The cross-disciplinary potential of LLMs [40:20]
• The special role of our brain’s hippocampus in memory formation [1:05:15]
• Kim's research on reinforcement learning and neural representation [1:15:02]
• Compression in representation learning [1:38:51]
• What skills should an aspiring computational neuroscientist hone [1:50:30]

Additional materials: www.superdatascience.com/725

In this Friday episode, host Jon Krohn talks to UCSF’s David Moses about BRAVO (Brain-Computer Interface Restoration of Arm and Voice), a study led by Edward Chang and Karunesh Ganguly that helps patients who have lost the ability to speak to communicate once again via a speech neuroprosthesis. Postdoctoral engineer David Moses, who is a part of BRAVO, reveals the data and machine learning models that help BRAVO predict the words and facial expressions that a paralyzed patient is trying to form via their brain activity, crucially helping patients to communicate with medical practitioners and loved ones.

Additional materials: www.superdatascience.com/724

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Mathematical optimization should be known to every data scientist: Jon Krohn speaks to Jerry Yurchisin, Data Science Strategist at Gurobi, the decision-making technology and best-kept secret of 80% of America’s leading enterprises.

This episode is brought to you by the Zerve data science dev environment,  by ODSC, the Open Data Science Conference, and by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• What mathematical optimization is [04:27]
• How Gurobi solver works [29:01]
• How to use Gurobi with Python [36:08]
• Coding and algebra resources [41:14]
• When to use mathematical optimization and machine learning together [54:23]
• Using mathematical optimization in natural language processing [1:01:00]

Additional materials: www.superdatascience.com/723

This episode delves into an intriguing research paper from top institutions like UC Irvine and MIT, analyzing the carbon emissions of AI-driven writing and illustrating versus traditional human methods. The findings might surprise you. Is AI the more eco-friendly option? Listen now to explore this compelling intersection of technology and sustainability.

Additional materials: www.superdatascience.com/722

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Dr. Amira Abbas, Quantum Computing Researcher at the University of Amsterdam, explores the captivating world of Quantum Machine Learning. Learn about the distinct characteristics of qubits and the vital processes of Quantum ML. For those keen on exploring further, Amira offers noteworthy ML tools suggestions to kickstart your journey in Quantum Computing.

This episode is brought to you by Gurobi, the Decision Intelligence Leader,  by ODSC, the Open Data Science Conference, and by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• Quantum computing vs classical computing [03:42]
• What is quantum entanglement [11:45]
• What is a qubit [15:07]
• The best problems for quantum ML [30:08]
• Three distinct steps in quantum ML and its potential [39:06]
• Quantum neural networks [49:03]
• What Amira's working on at the moment [1:10:20]
• How to get started in quantum ML [1:21:06]
• Amira's recommended ML tools for quantum computing [1:30:39]

Additional materials: www.superdatascience.com/721

DALL-E may be playing second fiddle to Midjourney no longer with OpenAI’s latest model for generative AI art, DALL-E 3. Host Jon Krohn breaks down the newest model’s capabilities to go beyond producing incredible artistic images, and that follows your written brief to the letter.

Additional materials: www.superdatascience.com/720

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode, Margot Gerritsen and Jon Krohn discuss the fundamentals of computational mathematics and its application in studying fluid dynamics. Margot also talks about how her synesthesia led to a lifelong interest in math, using computational mathematics to predict airflow, and why it is so important that underrepresented groups in data science become more visible through organizations like Women in Data Science.

This episode is brought to you by the Zerve data science dev environment, by Gurobi, the Decision Intelligence Leader, and by ODSC, the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• About computational mathematics and its relation to data science [03:19]
• Margot’s current research into emissions simulation [15:05]
• Computational Mathematics: Real-World Applications [33:18]
• The importance of wind tunnels in testing designs [47:54]
• The beauty of linear algebra [1:05:59]
• Synesthesia: Seeing Numbers as Colors [1:16:33]
• About Women in Data Science [1:24:59]

Additional materials: www.superdatascience.com/719

Elevate your ChatGPT game with a useful custom instruction. Tune in to hear Jon’s trick for maximizing ChatGPT’s potential.

Additional materials: www.superdatascience.com/718

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Dr. Dan Shiebler, Head of ML at Abnormal Security, joins Jon Krohn this week and unveils the intricacies of cybercrime detection and email protection, and the role of AI in future challenges.

This episode is brought to you by Grafbase, the unified data layer, by ODSC, the Open Data Science Conference,  and by Modelbit, for deploying models in seconds. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• The heuristic and “intermediate” ML models that they develop at Abnormal Security [07:08]
• How Dan uses LLMs at Abnormal Security [15:46]
• How false negatives are individually the biggest classification error to avoid in cybersecurity [20:49]
• How head-to-head competitor analysis helps refine models [34:34]
• Resilient ML in cybersecurity [38:36]
• Abnormal Security’s routine for updating their models [52:37]
• AI's impact on the urban world [1:09:57]
• How to stay updated in data science and AI [1:13:46]

Additional materials: www.superdatascience.com/717

Jon Krohn's 94-year-old grandmother, Annie, who's bursting with life and wisdom, shares her recipe to lifelong happiness and how relationships and daily intentions play an integral role. Annie also shares her curious take on modern technology. Get inspired by her infectious joy and perspective on life.

Additional materials: www.superdatascience.com/716

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Join us as Dr. Allen Downey, renowned author and professor, shares insights from his upcoming book 'Probably Overthinking It,' breaking down underused techniques like Survival Analysis, explaining common paradoxes, and discussing the dynamic Overton Window.

This episode is brought to you by the Zerve data science dev environment, by  Modelbit, for deploying models in seconds, and by Grafbase, the unified data layer. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• Why interpreting data is not always easy [06:21]
• What is Survival Analysis [15:32]
• Preston's Paradox [22:09]
• Are you Normal? [36:52]
• How to better prepare for rare “Black Swan” events [42:48]
• What is an Overton Window? [53:06]
• What is the base rate fallacy? [1:23:31]
• How to protect yourself from biased samples [1:33:39]
• Simpson’s Paradox [1:42:43]

Additional materials: www.superdatascience.com/715

In this Friday episode, guest Tim Albiges explores with host Jon Krohn how people with blindness can have a lucrative and fulfilling career in data science, how Tim’s PhD thesis applied machine learning to help diagnose chronic respiratory diseases, and the communication tools that blind people can use to live a full and independent life.

Additional materials: www.superdatascience.com/714

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Artificial General Intelligence, RLHF’s application in AI, and how entrepreneurs can enter the AI industry: Meta’s AI Research Scientist Thomas Scialom gives us behind-the-scenes insights into developing Llama 2 and what’s in the works for Llama 3. With host Jon Krohn, he discusses the future of Artificial General Intelligence, why the Galactica science-focused LLM was taken down, and what he learned from it.

This episode is brought to you by AWS Inferentia, by Grafbase, the unified data layer, and by Modelbit, for deploying models in seconds. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• Llama 2: Behind the Scenes of Today’s Top Open-Source LLM [05:04]
• Responsible use of Llama 2 [15:26]
• Toolformer: LLM That Learns How to Use External Tools [24:57]
• Galactica: The Science-Specific LLM and Why It Was Brought Down [36:57]
• Is AGI Around the Corner? [57:03]
• Advice for AI entrepreneurs [1:05:46]
• How Thomas develops and manages large-scale AI projects [1:14:42]

Additional materials: www.superdatascience.com/713

Code Llama might just be starting the revolution for how data scientists code. In this Five-Minute Friday, host Jon Krohn investigates the suite of models under the free-to-use Code Llama and how to find the best fit for your project’s needs.

Additional materials: www.superdatascience.com/712

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode, host Jon Krohn explores with his guest Ajay Jain, Co-Founder of Genmo.ai, how creative general intelligence could take the video industry by storm. They also discuss the models that got Genmo to this point, the applications of NeRF, and how understanding human psychology is so essential to developing models that output high-fidelity video.

This episode is brought to you by the Zerve data science dev environment, by Grafbase, the unified data layer, and by Modelbit, for deploying models in seconds. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• About Genmo.ai and the term “creative general intelligence” [03:47]
• Why Ajay started Genmo.ai [09:26]
• The increased performance of multimodal models [21:12]
• All about Denoising Diffusion Probabilistic Models (DDPMs) [31:03]
• The application of Neural Radiance Fields (NeRF) [55:26]
• Predicting pedestrian behavior at Uber [1:01:50]
• How to save money in the process of training models [1:12:42]

Additional materials: www.superdatascience.com/711

Discover the power of Large Language Models with Kris Ograbek as he unravels the intricacies of LangChain and showcases a chatbot in action, all while putting our host Jon Krohn in the hot seat!

Additional materials: www.superdatascience.com/710

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Meta's Senior Research Director, Dr. Laurens van der Maaten, takes center stage to unravel the captivating realm of AI innovation. Learn about his groundbreaking contributions, including pioneering the t-SNE dimensionality reduction technique and harnessing AI for novel protein synthesis, climate change mitigation, and wearable materials simulation. Join us to explore the transformative power of AI across diverse domains and gain a glimpse into its future societal implications.

This episode is brought to you by AWS Inferentia, by Modelbit, for deploying models in seconds, and by Grafbase, the unified data layer. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• Large-scale learning of image recognition models on web data [05:05]
• Evolutionary Scale Modeling protein models [16:45]
• Fighting climate change by building an A.I. model [29:49]
• The CrypTen privacy-preserving ML framework [38:36]
• Concerns about adversarial examples [53:25]
• Laurens’ t-SNE algorithm [58:56]
• How to make a big impact [1:07:25]

Additional materials: www.superdatascience.com/709

On this week’s Five-Minute Friday, host Jon Krohn gives five reasons why he is so excited about ChatGPT’s Code Interpreter and walks listeners through its capabilities with a practical example.

Additional materials: www.superdatascience.com/708

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

LLM Vicuña, Chatbot Arena, and the race to increase LLM context windows: This episode’s guest Joey Gonzalez talks to Jon Krohn about developing models and platforms that leverage and improve LLMs, as well as the future of AI development and access.

This episode is brought to you by the AWS Insiders Podcast, by Modelbit, for deploying models in seconds, and by Grafbase, the unified data layer. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• Vicuña: How the revolutionary LLM came to be [03:35]
• Chatbot Arena: The leading LLM leaderboard [09:47]
• Trusting LLM results [17:54]
• Gorilla: The open-source ChatGPT plugin alternative [32:13]
• About LMSYS and long context windows [47:48]
• Open- vs closed-source LLMs: Which is better? [1:01:39]
• Aqueduct [1:16:49]
• Founding GraphLab [1:27:02]
• How AI will positively impact society in the coming decades [1:32:31]

Additional materials: www.superdatascience.com/707

In this episode, Caterina Constantinescu dives deep into Large Language Models (LLMs), spotlighting top leaderboards, evaluation benchmarks, and real-world user perceptions. Plus, discover the challenges of dataset contamination and the intricacies of platforms like HELM and Chatbot Arena.

Additional materials: www.superdatascience.com/706

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Join Jon Krohn as he chats with Syngenta Group's Feroz Sheikh, Jeremy Groeteke, and Thomas Jung about the digital revolution in agriculture. Learn how data science is evolving farming, from precision techniques to global food solutions. A compelling blend of tech meets nature.

This episode is brought to you by AWS Inferentia and by Modelbit, for deploying models in seconds. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• What is precision agriculture? [09:43]
• What is computational agronomy? [12:30]
• How Syngenta helps growers optimize yields [21:37]
• How to bridge the gap between R&D and out in the real world [33:58]
• What is generative chemistry? [37:52]
• How generative chemistry accelerates the discovery of new compounds [41:55]
• How you could make a big social impact in agriculture with data science [56:22]
• How to go about designing ML models for agriculture [1:00:27]

Additional materials: www.superdatascience.com/705

Take on the world of GPT and learn to develop your own, commercially successful Large Language Models (LLMs) with Jon Krohn’s comprehensive, guided training video for generative AI. Get to grips with the technology, learn which tools to use, and find out how to get an eye for business-viable models with Jon’s (ad-)free educational video.

Additional materials: www.superdatascience.com/704

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Statistics history, interdisciplinarity, and data and society. Chris Wiggins talks with Jon Krohn about the power dynamics of data, the transformation of the field of biology through data-driven approaches to genetic sequencing, and the New York Times’ data science team’s cutting-edge approach to accommodating its tech stack.

This episode is brought to you by the AWS Insiders Podcast and by Modelbit, for deploying models in seconds. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• The importance of the humanities in data science [09:18]
• How data science “rearranges” power [17:19]
• An overview of How Data Happened [20:36]
• The controversial nature of Bayes theorem [29:16]
• Why we need to consider data ethics [34:00]
• How biology came to adopt data science into its field [45:44]
• The data science tech stack at the New York Times [49:18]

Additional materials: www.superdatascience.com/703

This week, Jon Krohn is examining Meta's newly released open-source large language model, Llama 2, highlighting its commercial prospects, immense capacity, model variety, and unique 'time awareness' feature. He also discusses its innovative two-stage RLHF approach that enhances its performance.

Additional materials: www.superdatascience.com/702

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Dr. Raluca Ada Popa, renowned computer scientist, entrepreneur, and President of Opaque Systems, joins Jon Krohn to share her insights on securely interacting with AI APIs like OpenAI's GPT-4, the pros and cons of open vs. closed-source AI development, and the seamless operation of compute pipelines across multiple clouds.

This episode is brought to you by AWS Inferentia and by Modelbit, for deploying models in seconds. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• What is a confidential computing platform? [04:31]
• How to get started with confidential computing [12:10]
• The challenges of confidential computing and LLMs [21:11]
• How to safeguard your data while using commercial LLMs like GPT-4 [38:00]
• Open-source vs closed-source [52:28]
• Raluca's PreVail cybersecurity company [1:01:50]
• Combining entrepreneurship and academic career [1:04:03]
• DARE Program [1:10:39]

Additional materials: www.superdatascience.com/701

Yoga and Hindu mythology: This special episode continues the thread of our centenary episodes, SDS 500: Yoga Nidra with Jes Allen and SDS 600: Yoga Nidra Practice with Steve Fazzari, which talked through guided meditation techniques to help improve posture, sleep, and expand consciousness. Inspired by these sessions, host Jon Krohn explores Hindu mythology via Alan Watts’ “The Dream of Life”.

Additional materials: www.superdatascience.com/700

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Model deployment, data warehouse options for running models, and how to best leverage BI tools: Harry Glaser and Jon Krohn discuss Modelbit’s capabilities to automate ML models from notebooks into production-ready models, reducing the time and effort in ‘translating’ information from one mode to another. Harry’s conversation with host Jon Krohn expanded on the importance of automating this task, and how developments in ML modeling have widened access to entire teams to analyze data, whatever their level of expertise.

This episode is brought to you by the AWS Insiders Podcast. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• What the modern data stack is [03:28]
• Version control for data scientists [13:30]
• CI/CD, load balancing and logging [20:38]
• Snowflake vs. Redshift [30:10]
• How tools like Looker and Tableau help monitor models [35:26]

Additional materials: www.superdatascience.com/699

Company-wide AI adoption can take a lot of persuasion. Rehgan Avon talks to host Jon Krohn about why AI has become necessary for forward-thinking businesses and the steps to implement AI in an institution so that everyone benefits.

Additional materials: www.superdatascience.com/698

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

AI visionary and CEO of SingularityNET Dr. Ben Goertzel provides a deep dive into the possible realization of Artificial General Intelligence (AGI) within 3-7 years. Explore the intriguing connections between self-awareness, consciousness, and the future of Artificial Super Intelligence (ASI) and discover the transformative societal changes that could arise.

This episode is brought to you by AWS Inferentia, by the AWS Insiders Podcast, and by Modelbit, for deploying models in seconds. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• Decentralized and benevolent AGI [03:13]
• The SingularityNET ecosystem [13:10]
• Dr. Goertzel's vision for realizing AGI - combining DL with neuro-symbolic systems, genetic algorithms and knowledge graphs [25:50]
• How reaching AGI will trigger Artificial Super Intelligence [38:51]
• Dr. Goertzel's approach to AGI using OpenCog Hyperon [42:34]
• Why Dr. Goertzel believes AGI will be positive for humankind [53:07]
• How to ensure the AGI is benevolent [1:06:43]
• How AGI or ASI may act ethically [1:13:50]

Additional materials: www.superdatascience.com/697

Jon Krohn welcomes Professor Dr. Bob Knight to explore human intelligence, the prefrontal cortex, and the transformative potential of brain implants for data collection. Discover the pivotal role of machine learning in treating Parkinson's and delve into exciting future advancements.

Additional materials: www.superdatascience.com/696

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

What are transformers in AI, and how do they help developers to run LLMs efficiently and accurately? This is a key question in this week’s episode, where Hugging Face’s ML Engineer Lewis Tunstall sits down with host Jon Krohn to discuss encoders and decoders, and the importance of continuing to foster democratic environments like GitHub for creating open-source models.

This episode is brought to you by the AWS Insiders Podcast, by WithFeeling.ai, the company bringing humanity into AI, and by Modelbit, for deploying models in seconds. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• What a transformer is, and why it is so important for NLP [04:34]
• Different types of transformers and how they vary [11:39]
• Why it’s necessary to know how a transformer works [31:52]
• Hugging Face’s role in the application of transformers [57:10]
• Lewis Tunstall’s experience of working at Hugging Face [1:02:08]
• How and where to start with Hugging Face libraries [1:18:27]
• The necessity to democratize ML models in the future [1:25:25]

Additional materials: www.superdatascience.com/695

Modeling tabular data and spreadsheets doesn’t have to be tedious with CatBoost’s open-source tree-boosting algorithm. CatBoost does what it says on the tin, blending categories with boosting that allows you to train your models faster and handle large datasets for ML tasks across multiple GPUs. In this week’s Five-Minute Friday, host Jon Krohn gets to grips with the technical components of CatBoost that give it the speed and accuracy so acclaimed by its users.

Additional materials: www.superdatascience.com/694

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Harpreet Sahota, a data science expert and deep learning developer at Deci AI, joins Jon Krohn to explore the fascinating realm of object detection and the revolutionary YOLO-NAS model architecture. Discover how machine vision models have evolved and the techniques driving compute-efficient edge device applications..

This episode is brought to you by AWS Inferentia, by WithFeeling.ai, the company bringing humanity into AI, and by Modelbit, for deploying models in seconds. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• What is machine vision? [07:02]
• Object detection and YOLO architectures [13:00]
• Deci's YOLO-NAS: Optimal object detection model architecture [23:39]
• Developer Relations [1:00:16]
• Harpreet's 'top-down' approach to learning Deep Learning [1:06:50]

Additional materials: www.superdatascience.com/693

Join Jon as he navigates listeners through the innovative SpQR approach—a cutting-edge, lossless LLM weight compression technique that harnesses the power of quantization. Tune in as Jon delves into the four steps behind this groundbreaking method in this week's episode.

Additional materials: www.superdatascience.com/692

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

GPUs vs CPUs, chip design and the importance of chips in AI research: This highly technical episode is for anyone who wants to learn what goes into chip development and how to get into the competitive industry of accelerator design. With advice from expert guest Ron Diamant, Senior Principal Engineer at AWS, you’ll get a breakdown of the need-to-know technical terms, what chip engineers need to think about during the design phase and what the future holds for processing hardware.

This episode is brought to you by Posit, the open-source data science company, by the AWS Insiders Podcast, and by WithFeeling.ai, the company bringing humanity into AI. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• What CPUs and GPUs are [05:29]
• The differences between accelerators used for deep learning [14:31]
• Trainium and Inferentia: AWS's A.I. Accelerators [22:10]
• If model optimizations will lead to lower demand for hardware to process them [43:14]
• How a chip designer goes about production [48:34]
• Breaking down the technical terminology for chips (accelerator interconnect, dynamic execution, collective communications) [55:29]
• The importance of AWS Neuron, a software development kit [1:15:42]
• How Ron got his foot in the door with chip design [1:26:40]

Additional materials: www.superdatascience.com/691

Krishna Gade, the founder and CEO of Fiddler.AI, discusses the challenges faced by Large Language Models (LLMs) in Generative AI, including inaccuracies, biases, and privacy risks. He emphasizes the importance of monitoring to build trust in AI and highlights Fiddler's explainability algorithms and pre-built bias detection tools as vital solutions.

Additional materials: www.superdatascience.com/690

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Arize's Amber Roberts and Xander Song join Jon Krohn this week, sharing invaluable insights into ML Observability, drift detection, retraining strategies, and the crucial task of ensuring fairness and ethical considerations in AI development.

This episode is brought to you by Posit, the open-source data science company, by AWS Inferentia, and by Anaconda, the world's most popular Python distribution. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• What is ML Observability [05:07]
• What is Drift [08:18]
• The different kinds of model drift [15:31]
• How frequently production models should be retrained? [25:15]
• Arize's open-source product, Phoenix [30:49]
• How ML Observability relates to discovering model biases [50:30]
• Arize case studies [57:13]
• What is a developer advocate [1:04:51]

Additional materials: www.superdatascience.com/689

Prompt injection, prompt engineering, context windows, and more: In this week’s Five-Minute Friday, Jon explains why anyone looking to build their own product leveraging LLMs should stop to consider these and three more issues before jumping in. Phillip Carter first outlined these six issues in his article “All the Hard Stuff Nobody Talks About when Building Products with LLMs”.

Additional materials: www.superdatascience.com/688

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Autoencoders, transformers, latent space: Learn the elements of generative AI and hear what data scientist David Foster has to say about the potential for generative AI in music, as well as the role that world models play in blending generative AI with reinforcement learning.

This episode is brought to you by Posit, the open-source data science company, by Anaconda, the world's most popular Python distribution, and by WithFeeling.ai, the company bringing humanity into AI. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• Generative modeling vs discriminative modeling [04:21]
• Generative AI for Music [13:12]
• On the threats of AI [23:15]
• Autoencoders Explained [38:36]
• Noise in Generative AI [48:11]
• What CLIP models are (Contrastive Language-Image Pre-training) [54:07]
• What World Models are [1:00:40]
• What a Transformer is [1:11:14]
• How to use transformers for music generation [1:19:50]

Additional materials: www.superdatascience.com/687

Mircosoft’s Ruth Yakubu joins Jon Krohn to discuss Responsible AI principles and the open-source Responsible AI Toolbox, allowing users to assess their models for fairness, inclusiveness, privacy, explainability, accountability, and reliability before deployment.

Additional materials: www.superdatascience.com/686

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Richmond Alake, a Machine Learning Architect at Slalom Build, sits down with Jon to share real-time ML insights, tools and career experiences for a high-energy and high impact episode. From his work at Slalom Build to his two AI startups, discover the software choices, ML tools, and front-end development techniques used by a leader in the field.

This episode is brought to you by Posit, the open-source data science company, by AWS Inferentia, and by WithFeeling.ai, the company bringing humanity into AI. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• What is a Machine Learning Architect? [03:09]
• Richmond's startups [12:07]
• Why Richmond started a podcast [29:51]
• Richmond's new course on feature stores [38:05]
• Why Richmond produces data science content [43:25]
• Why All Data Scientists Should Write [51:30]

Additional materials: www.superdatascience.com/685

Open-source LLMs, FlashAttention and generative AI terminology: Host Jon Krohn gives us the lift we need to explore the next big steps in generative AI. Listen to the specific way in which Stanford University’s “exact attention” algorithm, FlashAttention, could become a competitor for GPT-4’s capabilities.

Additional materials: www.superdatascience.com/684

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Monitoring malicious, user-generated content; contextual AI; adapting to novel evasion attempts: Matar Haller speaks to Jon Krohn about the challenges of identifying, analyzing and flagging malicious information online. In this episode, Matar explains how contextual AI and a “database of evil” can help resolve the multiple challenges of blocking dangerous content across a range of media, even those that are live-streamed.

This episode is brought to you by Posit, the open-source data science company, by Anaconda, the world's most popular Python distribution, and by WithFeeling.ai, the company bringing humanity into AI. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• How ActiveFence helps its customers to moderate platform content [05:36]
• How ActiveFence finds extreme social media users trying to evade detection [16:32]
• How to monitor live-streaming content and analyze it for dangerous material [29:13]
• The technologies ActiveFence uses to run its platform [35:54]
• Matar’s experience of the Insight Fellows Program (Data Science Fellowship) [40:28]
• Leadership opportunities for women in STEM [1:00:41]
• Israel’s R&D edge for AI [1:13:19]

Additional materials: www.superdatascience.com/683

In this week's episode, Mico Yuk, host of 'Analytics on Fire', joins Jon Krohn to share her effective business intelligence and analytics framework, BIDS, for persuading key decision makers. She crowns one "power" tool as the analytics king and discusses emerging tools that could challenge its dominance. Tune in for unapologetic insights on future and current BI trends and happenings from the world of BI and analytics.

Additional materials: www.superdatascience.com/682

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Unlock the power of XGBoost by learning how to fine-tune its hyperparameters and discover its optimal modeling situations. This and more, when best-selling author and leading Python consultant Matt Harrison teams up with Jon Krohn for yet another jam-packed technical episode! Are you ready to upgrade your data science toolkit in just one hour? Tune-in now!

This episode is brought to you by Pathway, the reactive data processing framework, by Posit, the open-source data science company, and by Anaconda, the world's most popular Python distribution. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• Matt's book ‘Effective XGBoost’ [07:05]
• What is XGBoost [09:09]
• XGBoost's key model hyperparameters [19:01]
• XGBoost's secret sauce [29:57]
• When to use XGBoost [34:45]
• When not to use XGBoost [41:42]
• Matt’s recommended Python libraries [47:36]
• Matt's production tips [57:57]

Additional materials: www.superdatascience.com/681

Industrial machinery’s dependence on data science, tech stacks to build IoT platforms, and transitioning from data science to product: This week’s Friday episode with Allegra Alessi explores the minutiae of product ownership for the Internet of Things at packaging company Bobst. Join host Jon Krohn and his guest as they unpack how the IoT is leading factory production.

Additional materials: www.superdatascience.com/680

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Generative AI, MLOps, and making smart investments in AI: This week’s episode is critical listening for AI investors and generative AI creators. AI investor George Mathew talks with host Jon Krohn about the emerging generative AI stack, the critical elements of MLOps to ensure a scalable model, and the tools developers can use for a saleable product.

This episode is brought to you by Posit, the open-source data science company, by AWS Inferentia, and by Anaconda, the world's most popular Python distribution. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• Venture capital’s role in the technology startup ecosystem [05:59]
• How RLHF helps UI become more intuitive [12:53]
• The four layers of the generative AI stack [34:16]
• The risks for generative AI business founders and investors [46:50]
• How MLOps drive best practices and help implementation [56:33]
• The importance of PLG (Product Lead Growth) [1:04:15]
• How generative AI tools will impact the labor market [1:17:34]

Additional materials: www.superdatascience.com/679

StableLM, the new family of open-source language models from the brilliant minds behind Stable Diffusion is out! Small, but mighty, these models have been trained on an unprecedented amount of data for single GPU LLMs. This week, Jon breaks down the mechanics of this model–see you there!

Additional materials: www.superdatascience.com/678

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

How does one use marketing analytics to drive business success? Avinash Kaushik, Chief Strategy Officer at Croud and former Sr. Director of Global Strategic Analytics at Google joins Jon Krohn live for an exciting episode that covers the transformative power of AI, his 'four clusters of intent' framework and the value of hands-on data tools.

This episode is brought to you by Pathway, the reactive data processing framework, by Posit, the open-source data science company, and by Anaconda, the world's most popular Python distribution. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:

• What is a chief strategy officer? [3:55]

• Brand vs performance analytics [7:23]

• Incrementality-centric marketing [32:53]

• Avinash's time at Google [37:54]

• How to maintain human-touch with AI [48:58]

• Four clusters of intent framework [1:11:28]

• Avinash's most significant career challenges [1:17:18]

Additional materials: www.superdatascience.com/677

Chinchilla AI, and fine-tuning proprietary tasks with large language models: On this week’s Five-Minute Friday, host Jon Krohn outlines the principles of the Chinchilla Scaling Laws, the incredible power of models such as Cerebras-GPT based on these laws, and the impact of scaling on the number of viable applications and commercial use cases.

Additional materials: www.superdatascience.com/676

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Wrangling data in Pandas, when to use Pandas, Matplotlib or Seaborn, and why you should learn to create Python packages: Jon Krohn speaks with guest Stefanie Molin, author of Hands-On Data Analysis with Pandas.

This episode is brought to you by Posit, the open-source data science company, and by AWS Inferentia. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• The advantages of using pandas over other libraries [07:55]
• Why data wrangling in pandas is so helpful [12:05]
• Stefanie’s Data Morph library [24:27]
• When to use pandas, matplotlib, or seaborn [33:45]
• Understanding the ticker module in matplotlib [36:48]
• Where data analysts should start their learning journey [40:08]
• What it’s like being a software engineer at Bloomberg [51:19]

Additional materials: www.superdatascience.com/675

Models like Alpaca, Vicuña, GPT4All-J and Dolly 2.0 have relatively small model architectures, but they're prohibitively expensive to train even on a small amount of your own data. The standard model-training protocol can also lead to catastrophic forgetting. In this week's episode, Jon explores a solution to these problems, introducing listeners to Parameter-Efficient Fine-Tuning (PEFT) and the leading approach: Low-Rank Adaptation (LoRA).

Additional materials: www.superdatascience.com/674

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Vincent Gosselin, CEO and co-founder of Taipy, an open-source Python library, joins Jon Krohn to discuss how to accelerate productivity in Python and build scalable, reusable, and maintainable data pipelines. Gosselin shares his breadth of wisdom honed over his decades-long AI career.

This episode is brought to you by Pathway, the reactive data processing framework, and by Posit, the open-source data science company. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• The Taipy library functionality [2:59]
• The future of data pipelines [21:40]
• Common trends of companies that are successful at adopting data pipelines [28:31]
• How no-code and low-code trends impact the data science lifecycle [33:00]
• How Vincent chose the programming languages that underpin Taipy [41:40]
• Common trends on how companies manage their data to learn from it [45:06]
• Vincent's perspective on AI winters [51:03]

Additional materials: www.superdatascience.com/673

Get started with language models: Learn about the commercial-use options available for your business in this week’s Five-Minute Friday, where host Jon Krohn discusses four models that have many of the capabilities of ChatGPT and can run at a fraction of the cost.

Additional materials: www.superdatascience.com/672

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Get to grips with AWS, Azure, Google Cloud Platform on this week’s episode. Host Jon Krohn speaks with Kirill Eremenko and Hadelin de Ponteves about CloudWolf, a cloud computing educational platform that prepares students for certification in AWS (Amazon Web Services). Find out why an accreditation in cloud computing could be the safest investment for your data science career.

This episode is brought to you by Posit, the open-source data science company, and by AWS Inferentia. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• About CloudWolf [07:04]
• Why learning the cloud is important for data scientists [09:12]
• Is learning cloud computing complex? [22:30]
• Essential AWS services [28:31]
• Database options on AWS [33:47]
• How to run analytics on AWS [40:58]
• Why an AWS certification is so helpful [56:35]

Additional materials: www.superdatascience.com/671

How does Meta AI's natural language model, LLaMa compare to the rest? Based on the Chinchilla scaling laws, LLaMa is designed to be smaller but more performant. But how exactly does it achieve this feat? It's all done by training a small model for a longer period of time. Discover how LLaMa compares to its competition, including GPT-3, in this week's episode.

Additional materials: www.superdatascience.com/670

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode, Jon Krohn welcomes Adrian Kosowski, Co-Founder and Chief Product Officer at Pathway, who shares insights on streaming data processing and reactive data processing, and how they're shaping the future of machine learning. Tune in now for an unforgettable episode.

This episode is brought to you by Posit, the open-source data science company, and by AWS Inferentia. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• About Pathway's reactive data processing framework [04:45]
• Reactive data processing use cases [17:08]
• What is the difference between batch and streaming processing [33:18]
• Transformers in data engineering and data streaming [53:44]
• The benefits of Adrian's technical background as a CPO [1:04:17]
• Adrian's responsibilities and favorite tools as a CPO [1:15:25]
• Emerging ML approaches and tools for startups [1:28:49]

Additional materials: www.superdatascience.com/669

AI risks, RLHF, and inner alignment: GPT stands to give the business world a major boost. But with everyone racing either to develop products that incorporate GPT or use it to carry out critical tasks, what dangers could lie ahead in working with a tool that applies essentially unknowable means (inner alignments) to reach its goals? This week’s guest Jérémie Harris speaks with Jon Krohn about the essential need for anyone working with GPT to understand the impact of a system comprising inner alignments that cannot – and may never – be fully understood.

Additional materials: www.superdatascience.com/668

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information. 

GPT-4, augmenting human tasks with AI, and using GPT-4 commercially: Vin Vashishta speaks to host Jon Krohn about how to leverage GPT-4 and outperform your competitors in both speed and value. Learn how GPT-4 has outmatched its predecessors – and many skilled workers – in this latest iteration of large language models.

This episode is brought to you by Pathway, the reactive data processing framework, by Posit, the open-source data science company, and by epic LinkedIn Learning instructor Keith McCormick. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• Using GPT-4 to screen for jobs [06:26]
• A framework for improving systems with GPT [13:32]
• Teaming, tooling and collaborating with GPT-4 [29:58]
• How to accelerate data science with generative A.I. [45:36]
• How to prepare for opportunities with GPT-4 [52:09]

Additional materials: www.superdatascience.com/667

GPT-4 has landed! But how well does it compare to GPT-3.5? Tune in to hear Jon stack its performance against its predecessor–the results might just blow your mind.

Additional materials: www.superdatascience.com/666

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Angel investor and data science consultant Josh Wills sits down with Jon Krohn to discuss his former roles (Google, Slack, and Cloudera) and the essential skills for engineering scalable machine learning projects.

This episode is brought to you by Pathway, the reactive data processing framework, and by epic LinkedIn Learning instructor Keith McCormick. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• Josh's 'Data Engineering for Machine Learning' course [06:50]
• Contextual bandits [10:52]
• Data quality and monitoring [16:45]
• The “infinite loop of sadness” in data product development [25:12]
• Josh’s definition of a data scientist [30:02]
• Josh's role at WeaveGrid [37:36]
• Management-Track vs Independent Contributor [48:47]
• Josh's work on the Covid pandemic [1:06:46]
• Josh’s favorite tech stack [1:11:13]

Additional materials: www.superdatascience.com/665

Can ChatGPT make us better and faster in our work, and is it the future or just another fad? In this episode, Jon Krohn delves into a new study from MIT about the tool’s potential productivity for white-collar tasks.

Additional materials: www.superdatascience.com/664

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

NLP, transformer architectures, and machines beating humans at their own game: Jon Krohn talks to Alexander H. Miller about his work in building a machine that can outsmart humans in the game of Diplomacy by engineering powers of persuasion and collusion to its own advantage.

This episode is brought to you by epic LinkedIn Learning instructor Keith McCormick (linkedin.com/learning/instructors/keith-mccormick). Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• Training a natural language model to interact with Diplomacy players [05:07]
• Processing speeds for a Diplomacy bot [29:32]
• Using transformer architectures [37:25]
• How Diplomacy AI actually works [43:25]
• CICERO's potential real-world applications [55:28]
• How to R&D an AI project [59:27]
• How to become an AI Research Manager [1:06:12]

Additional materials: www.superdatascience.com/663

Our list of the top 10 SuperDataScience podcast episodes for 2022 is here. From Pandas to causality, AI breakthroughs and data storytelling, these were your most popular episodes of the year gone by.

Additional materials: www.superdatascience.com/662

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Chip Huyen, co-founder of Claypot AI and author of O'Reilly's best-selling "Designing Machine Learning Systems" is here to share her expertise on designing production-ready machine learning applications, the importance of iteration in real-world deployment, and the critical role of real-time machine learning in various applications. Technical listeners like data scientists and machine learning engineers will definitely enjoy this one!

This episode is brought to you by Pathway, the reactive data processing framework (pathway.com), and by epic LinkedIn Learning instructor Keith McCormick (linkedin.com/learning/instructors/keith-mccormick). Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• Why Chip wrote 'Designing Machine Learning Systems' [08:58]
• How Chip ended up teaching at Stanford [13:18]
• About Chip's book 'Designing Machine Learning Systems' [21:12]
• What makes ML feel like magic [30:53]
• How to align business intent, context, and metrics with ML [37:55]
• The lessons Chip learned about training data [42:03]
• Chip's secrets to engineering good features [53:19]
• How Chip optimizes her productivity [1:07:48]

Additional materials: www.superdatascience.com/661

ChatGPT is well-known for its potential to disrupt the writing industry, but in what other, perhaps less explored, ways can we use the tool? In this episode, Jon Krohn outlines five critical ways that ChatGPT can augment a data scientist’s work. From generating code to acting as a translation tool for programming languages, listen in to hear why ChatGPT could become a vital part of every data scientist’s toolkit.

Additional materials: www.superdatascience.com/660

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

NLP practitioners: this episode is for you. From the awareness of linguistic elements and annotation to getting the necessary people in the room, Vincent Warmerdam presents to Jon Krohn a recipe for a successful project and the open-source NLP tools to get there.

This episode is brought to you by epic LinkedIn Learning instructor Keith McCormick (linkedin.com/learning/instructors/keith-mccormick). Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• How Vincent came to work with De Speld [08:57]
• Vincent’s role at Explosion [18:59]
• How users can apply spaCy [21:46]
• Prodigy: Annotate training data more efficiently with scripts [26:28]
• How to manage “skill anxiety” with Calmcode [32:32]
• How Vincent fixed bad labels [42:47]
• The value of understanding linguistics for NLP [54:42]
• How to constrain artificial stupidity [1:02:38]

Additional materials: www.superdatascience.com/659

What makes data products popular? Brian T. O'Neill, Founder and Principal of Designing for Analytics, returns to the podcast to help us crack the code on building data products that people love.

Additional materials: www.superdatascience.com/658

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Data engineering educator Andreas Kretz joins Jon Krohn for a 1-hour primer that covers everything you need to know about the most in-demand role in data. From skills to tools, problem-solving processes and more, growing your knowledge of data engineering only improves your marketability, so tune in today if you're ready to future-proof your data career.

This episode is brought to you by Glean (glean.io), the platform for data insights fast, and by epic LinkedIn Learning instructor Keith McCormick (linkedin.com/learning/instructors/keith-mccormick). Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• Why learn data engineering? [06:55]
• What is data engineering? [08:08]
• What sets Senior Data Engineers apart from junior ones? [13:57]
• The must-know data-engineering tools [20:26]
• The right path to learn data engineering [44:24]
• Are certifications worth it? [51:46]
• The future of data engineering [55:24]
• Andreas's career challenges [58:48]

Additional materials: www.superdatascience.com/657

How to attract an AI recruiter’s attention: In this episode, Jon Krohn and Tribe AI CEO Jaclyn Rice Nelson break down the key ingredients needed to make a Tribe AI recruiter say “yes!” Get Jaclyn’s top tips for forward-thinking AI talent, the skills you need to learn, and the in-demand roles on Tribe’s list of clients.

Additional materials: www.superdatascience.com/656

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Transparent data science, profitable AI, and what’s missing from a data science education: Pandata’s Data Scientist in Residence Keith McCormick and Jon Krohn discuss how “insights” can never be the end product of a data science project, how to ensure you have a specific goal at the start of a project that is related to revenue, and why there is so much miscommunication between data scientists and their clients. Exclude the C-suite at your peril!

This episode is brought to you by Glean (glean.io), the platform for data insights, fast. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• What an Executive Data Scientist in Residence is [05:27]
• What A.I. transparency is and how it relates to the field of Explainable A.I. (XAI) [17:34]
• How companies can ensure they profit from AI projects [36:47]
• Possible organization structures for data science teams to be profitable [1:02:41]
• The current gaps in data science education [1:09:58]

Additional materials: www.superdatascience.com/655

14-year-old AI prodigy Mike Wimmer joins Jon Krohn to discuss his latest projects. Whether he's using AI to help conserve the world's coral reefs or launching his new IOT-based company, Mike is an endless source of inspiration in the field of AI.

Additional materials: www.superdatascience.com/654

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Carlos Aguilar, the founder and CEO of Glean, a data exploration and visualization platform, knows a thing or two about starting and growing a tech startup. After recently raising a $7 million seed round, he sits down with Jon Krohn to dive into the makings of his platform and shares tips for building a great founding team and how to delight early adopters.

In this episode you will learn:
• How Glean extracts actionable insights from their client's data warehouses [06:48]
• What sets Glean apart from other platforms [12:43]
• Glean's software stack [14:43]
• Glean's recent fundraising journey [24:56]
• The essential characteristics of a founding team [30:53]
• How Carlos founded Glean [36:56]
• Carlos's former role at Flatiron Health [40:49]
• How Carlos created a robotic painter [48:57]

Additional materials: www.superdatascience.com/653

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

MedTech, communications technology and computer vision: In this Five-Minute Friday, Jon Krohn investigates the technology that allows patients who have lost their ability to speak via medical ventilation to communicate clearly.

Additional materials: www.superdatascience.com/652

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Data visualizations, color theories and color inclusivity: In this episode, Kate Strachnyi and host Jon Krohn discuss how color can make or break your data visuals, ways to make your charts and graphs more inclusive through color, and how Kate developed the tools and techniques to nail color for your data stories in her latest book, ColorWise: A Data Storyteller’s Guide to the Intentional Use of Color.

In this episode you will learn:
• What a “data storyteller” is [11:01]
• Why color use should always be intentional [12:52]
• Is color always necessary in data visualization? [29:41]
• Color selection tips for your data visuals [31:19]
• Three-color scales [34:54]
• How to respect individual cultures in the color choices you make [38:25]
• Best tools for data visualization [54:35]

Additional materials: www.superdatascience.com/651

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

SparseGPT is a noteworthy one-shot pruning technique that can halve the size of large language models like GPT-3 without adversely affecting accuracy. In this episode, Jon Krohn provides an overview of this development and explains its commercial and environmental implications.

Additional materials: www.superdatascience.com/650

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Looking for a short primer on Machine Learning concepts? SDS Founder Kirill Eremenko and AI expert Hadelin de Ponteves are back, joining Jon Krohn to review essential ML concepts. From classification errors to logistic regression, feature scaling, the elbow method and more. The popular data science instructors also introduce their latest course: Machine Learning in Python: Level 1.

In this episode you will learn:
• Kirill and Hadelin's new course [17:34]
• Supervised vs unsupervised learning [26:23]
• False positives and false negatives [31:21]
• Logistic regression [43:00]
• Holding out a set of test data [46:39]
• Feature scaling [52:45]
• The Adjusted R-Squared metric [59:44]
• The five assumptions of linear regression [1:05:12]
• The Elbow Method [1:11:41]

Additional materials: www.superdatascience.com/649

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Text-to-speech gets a groundbreaking update with Microsoft’s VALL-E. On this Five-Minute Friday, Jon Krohn investigates how the Microsoft team modeled their tool to replicate natural human speech using just three seconds of a person’s voice.

Additional materials: www.superdatascience.com/648

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Knowledge management, trust of AI, and job automation: Tom Davenport speaks with Jon Krohn about the organizational obstacles to adopting AI, and why the C-suite also needs to learn how to handle data.

This episode is brought to you by Kolena (kolena.io), the testing platform for machine learning. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• Cognitive bias in understanding AI [14:13]
• How AI will augment rather than replace human workers [24:27]
• OpenAI and regulatory action [35:13]
• Jobs that might be at risk of being automated [39:57]
• The potential of citizen science in accumulating and analyzing data [1:02:18]
• How AI will change the game for the C-suite [1:15:17]

Additional materials: www.superdatascience.com/647

Are you still wondering how to get the most out of ChatGPT's game-changing technology? In this week's Five-Minute Friday guest episode, Jon Krohn sits down with longtime friend and e-commerce entrepreneur Zack Weinberg, to discuss the practical applications of this incredible AI tool.

Additional materials: www.superdatascience.com/646

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Machine learning, security and Call of Duty collide this week as Jon Krohn sits down with Carly Taylor, Lead Machine Learning Engineer for Activision's COD franchise to discuss the importance of low-latency, the future of gaming and her favorite software packages.

This episode is brought to you by Kolena (kolena.io), the testing platform for machine learning. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:

• The relationship between data science and cyber security [4:49]

• The importance of low-latency for an optimal gaming experience [9:15]

• The future of gaming [18:13]

• Carly's thoughts on the Metaverse [25:43]

• Carly’s favorite operating systems, software packages, and keyboards [30:27]

• How to transition from a quantitative academic background into data science [45:28]

• Why Carly is called the “Rebel Data Scientist” [53:27]

• How to file a patent [57:21]

Additional materials: www.superdatascience.com/645

Love and money matter in this week’s Five-Minute Friday, as Stanford University’s Myra Strober sits down with Jon Krohn to talk about her latest book, Money and Love, coauthored with Abby Davisson. In this unorthodox take on thinking with your head versus your heart, Myra and Abby address the life-changing impact that money and love have on each other and how to rethink this relationship to make better decisions.

Additional materials: www.superdatascience.com/644

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

AI prediction tools for antibodies and using statistics to prepare healthcare systems for pandemics: host Jon Krohn speaks with Chief Scientist of Biologics AI for Exscientia Charlotte Deane about the variety of potential partnerships between medicine and machine learning.

This episode is brought to you by Kolena (kolena.io), the testing platform for machine learning. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• What does Biologics AI mean? [03:48]
• How to use AI to predict protein structures [07:37]
• What antibodies are [14:00]
• Personalized Medicine is slow but A.I. can speed it up [24:36]
• The future of predicting 4D protein structures [44:30]
• Applications of machine learning during the pandemic [53:27]

Additional materials: www.superdatascience.com/643

Looking to shake up your data science productivity in 2023? Switching to a continuous calendar can make all the difference. Jon Krohn shares his new calendar with those taking their yearly, monthly and daily planning to the next level.

Additional materials: www.superdatascience.com/642

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

The top data science trends of 2023 are here. Sadie St. Lawrence joins Jon Krohn to share annual predictions on the future of AI. From the data mesh to multimodal models like ChatGPT, tune in to discover what's next.

This episode is brought to you by Kolena (kolena.io), the testing platform for machine learning. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• A recap of 2022 predictions [5:22]
• Our data science trend predictions for 2023:
- Data as a product [23:36]
- Multimodal A.I. models [32:26]
- The data mesh [42:49]
- Privacy & AI Trust [50:54]
- Environmental Sustainability [54:37]
• Sadie's goals for 2023 [1:16:04]

Additional materials: www.superdatascience.com/641

From AI trends to rediscovering how fun it is to work with colleagues ‘in person’, host Jon Krohn wraps up the year’s best SuperDataScience content and looks ahead to another year of interviews with the data science community’s brightest stars.

Additional materials: www.superdatascience.com/640

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Learning Python for beginners is made fun on Mariya Sha’s YouTube and Discord channels, on which she posts hacks, breakdowns and tutorials on everything to do with the world’s most important programming language. If you’re continually frustrated by the high base level at which many ML and Python courses seem to begin, this episode is a great jumping-off point for you.

This episode is brought to you by Kolena (kolena.io), the testing platform for machine learning. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• Why Mariya was first interested in learning Python [04:44]
• The positive potential for future AI applications [12:02]
• Useful broadcasting software [23:09]
• The importance of productivity hacking in data science [34:13]
• The ethical problems of web scraping [38:45]
• Mariya’s favorite Python libraries [53:48]
• What excites Mariya about the future of NLP [1:13:53]
• Mariya’s favorite software tools [1:15:23]

Additional materials: www.superdatascience.com/639

OpenAI's ChatGPT helps us generate a special holiday greeting this week. Tune in to hear the festive message that this impressive natural language generating algorithm churned out as we close out the year.

Additional materials: www.superdatascience.com/638

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

It's all about data visualization this week as Jon Krohn welcomes Ann K. Emery, data visualization designer and owner of Depict Data Studio, to the show. If you want to learn data viz best practices, tips and tricks and reporting how-tos, make some time to tune in today!

This episode is brought to you by Kolena (kolena.io), the testing platform for machine learning. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• What data storytelling is [3:40]
• Pinpoints of data visualization [10:38]
• Best practices for data visualization [23:41]
• Surprising spreadsheet tricks [30:51]
• When static dashboards are more effective than interactive ones [43:30]
• Ann's top tips for presenting data in a slideshow [48:07]

Additional materials: www.superdatascience.com/637

Digital literacy and data bias: Can one reduce or even eradicate the other? Law professor Orly Lobel speaks with SDS host Jon Krohn about Orly’s latest book, The Equality Machine, which offers an optimistic look into the future of AI and data mining.

Additional materials: www.superdatascience.com/636

Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Hand labeling data and information bias: Jon Krohn speaks with Watchful CEO Shayan Mohanty about the pitfalls of data analysis when bias comes into the equation (spoiler alert: it always does), the importance of the Chomsky hierarchy in data management, and the importance of simulation engines for returning real-time results to users.

This episode is brought to you by Iterative (iterative.ai), your mission control center for machine learning. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• Why bias in general is good [04:06]
• The arguments against hand labeling [09:47]
• How Shayan solves the problem of labeling at his company [24:26]
• Misconceptions concerning hand-labeled data [43:25]
• What the Chomsky hierarchy is [52:38]
• Watchful’s high-performance simulation engine [1:04:51]
• What Shayan looks for in his new hires [1:08:15]

Additional materials: www.superdatascience.com/635