Super Data Science: ML & AI Podcast with Jon Krohn
The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast. As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact. Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy. We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercializa
WebsiteEvery guest on Super Data Science: ML & AI Podcast with Jon Krohn
244 guests, ranked by how many people never want them back.
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Bryan McCann
835: AI Systems as Productivity Engines, with You.com’s Bryan McCann · Nov 2024
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Cal Al-Dhubaib
865: How to Grow (and Sell) a Data Science Consultancy, with Cal Al-Dhubaib · Feb 2025
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Carl Benedikt Frey
925: AI, Automation and the Future of Work, with Oxford’s Prof. Carl Benedikt Frey · Sep 2025
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Catherine Williams
1011: The Math Still Matters: Deep Skills in the Age of AI, with Dr. Catherine Williams · Jul 2026
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Chad Sanderson
825: Data Contracts: The Key to Data Quality, with Chad Sanderson · Oct 2024
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Chrys Wu
515: Accelerating Impact through Community — with Chrys Wu · Oct 2021
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Cole Nussbaumer Knaflic
757: How to Speak so You Blow Listeners' Minds, with Cole Nussbaumer Knaflic · Feb 2024
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Colin Sloss
017: Partitioning, Roles in Database Infrastructure and SQL Databases with Colin Sloss · Dec 2016
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Chris Wiggins
703: How Data Happened: A History, with Columbia Prof. Chris Wiggins · Aug 2023
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Daliana Liu
803: How to Thrive in Your (Data Science) Career, with Daliana Liu · Jul 2024
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Damian Mingle
013: 95% Accuracy Models, Winning People Over, and Saving Lives with Damian Mingle · Dec 2016
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Daniel Hulme
807: Superintelligence and the Six Singularities, with Dr. Daniel Hulme · Aug 2024
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Daniela Huppenkothen
732: Data Science for Astronomy, with Dr. Daniela Huppenkothen · Nov 2023
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David Loker
927: Automating Code Review with AI, feat. CodeRabbit’s David Loker · Sep 2025
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David Moses
724: Decoding Speech from Raw Brain Activity, with Dr. David Moses · Oct 2023
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David Tanaskovic
031: AB Testing, Kissmetrics and Ways to a Better Lifestyle with David Tanaskovic · Mar 2017
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David Venturi
035: Build Your Own Data Science Masters Degree with David Venturi · Mar 2017
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Deepali Vyas
837: Career Success in the AI Era, with Deepali Vyas · Nov 2024
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Demetrios Brinkmann
787: MLOps: The Job and The Key Tools, with Demetrios Brinkmann · May 2024
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Diane Hare
897: How to Enable Enterprise AI Transformation, with Strategy Consultant Diane Hare · Jun 2025
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Dilani Kahawala
1027: Building an Always-On AI Agent for Busy Parents, with Dr. Dilani Kahawala · Sep 2026
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Dmitry Korneev
005: Computer Forensics, Fraud Analytics And Knowing When To Take A Break With Dmitry Korneev · Oct 2016
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Ed Donner
847: AI Engineering 101, with Ed Donner · Dec 2024
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Eiman Ebrahimi
843: Safe, Fast and Efficient AI, with Protopia’s Dr. Eiman Ebrahimi · Dec 2024
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Emily Pastewka
749: Data Science for Clean Energy, with Emily Pastewka · Jan 2024
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Emily Webber
881: Beyond GPUs: The Power of Custom AI Accelerators, with Emily Webber · Apr 2025
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Eu Jin Lok
045: Exclusive Interview with the Legendary in Kaggle Competitions Eu Jin Lok · Apr 2017
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Florian Neukart
851: Quantum ML: Real-World Applications Today, with Dr. Florian Neukart · Jan 2025
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Frank Basso
1003: Building an AI Data Center End to End, with Lightning AI’s Frank Basso · Jun 2026
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Frank Hutter
863: TabPFN: Deep Learning for Tabular Data (That Actually Works!), with Prof. Frank Hutter · Feb 2025
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Garth Zoller
011: Learning Resources, Thinking Like a Data Scientist and Data Exploration with Garth Zoller · Nov 2016
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Gaurav Pathak
1030: Garbage In, Gospel Out: Why Agents Need Better Data, with Salesforce's Gaurav Pathak · Sep 2026
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Gaël Varoquaux
737: scikit-learn's Past, Present and Future, with scikit-learn co-founder Dr. Gaël Varoquaux · Dec 2023
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George Mathew
679: The A.I. and Machine Learning Landscape, with investor George Mathew · May 2023
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Gilbert Eijkelenboom
1005: People Skills for Analytical Thinkers, with Bestselling Author Gilbert Eijkelenboom · Jun 2026
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Gina Guillaume-Joseph
795: Fast-Evolving Data and AI Regulatory Frameworks, with Dr. Gina Guillaume-Joseph · Jun 2024
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Greg Michaelson
879: Serverless, Parallel, and AI-Assisted: The Future of Data Science is Here, with Zerve’s Dr. Greg Michaelson · 2 episodes
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Greg Poppe
014: Credit Scoring Models, the Law of Large Numbers, and Model Building with Greg Poppe · Dec 2016
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Hadelin de Ponteves
002: Machine Learning, Recommender Systems and The Future of Data with Hadelin de Ponteves · Sep 2016
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Recent episodes
1042 episodes from the feed, newest first.
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1031: Tokenomics: Why Your Agentic AI Bill Is Exploding (and How to Fix It), with Tyler Cox and Ish ShahSep 2026
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1030: Garbage In, Gospel Out: Why Agents Need Better Data, with Salesforce's Gaurav PathakSep 2026
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1028: The Chip Built for Agentic AI Inference, with SambaNova's Anton McGonnellSep 2026
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1026: OpenAI’s GPT-6 AstraSep 2026
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1022: CLAUDE.md, AGENTS.md, Skills, Hooks and Subagents: A Field Guide to Steering AI AgentsAug 2026
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1019: Anyone Can Write Code Now, So What Gets You Hired? (With Priyanka Vergadia)Aug 2026
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1018: Alibaba's Qwen3.8-Max: Open-Weight Model Surpasses Most American Frontier LabsAug 2026
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1017: Vector Search, Agentic Memory and Effective RAG, with MongoDB’s Pete JohnsonAug 2026
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