877 Episodes

  1. 836: How to Become Happier, with Dr. Nat Ware

    Published: 11/15/2024

  2. 835: AI Systems as Productivity Engines, with You.com’s Bryan McCann

    Published: 11/12/2024

  3. 834: In Case You Missed It in October 2024

    Published: 11/8/2024

  4. 833: The 10 Reasons AI Projects Fail, with Dr. Martin Goodson

    Published: 11/5/2024

  5. 832: The Anthropic CEO’s Techno-Utopia

    Published: 11/1/2024

  6. 831: PyTorch Lightning, Lit-Serve and Lightning Studios, with Dr. Luca Antiga

    Published: 10/29/2024

  7. 830: The “A.I.” Nobel Prizes (in Physics and Chemistry??)

    Published: 10/25/2024

  8. 829: Neuroscience Fueled by ML, with Prof. Bradley Voytek

    Published: 10/22/2024

  9. 828: Are “Citizen Data Scientists” A Myth? With Keith McCormick

    Published: 10/18/2024

  10. 827: Polars: Past, Present and Future, with Polars Creator Ritchie Vink

    Published: 10/15/2024

  11. 826: In Case You Missed It in September 2024

    Published: 10/11/2024

  12. 825: Data Contracts: The Key to Data Quality, with Chad Sanderson

    Published: 10/8/2024

  13. 824: Llama 3.2: Open-Source Edge and Multimodal LLMs

    Published: 10/4/2024

  14. 823: Virtual Humans and AI Clones, with Natalie Monbiot

    Published: 10/1/2024

  15. 822: NotebookLM: Jaw-Dropping Podcast Episodes Generated About Your Documents

    Published: 9/27/2024

  16. 821: The Skills You Need to Be an Effective Data Scientist, with Marck Vaisman

    Published: 9/24/2024

  17. 820: OpenAI's o1 "Strawberry" Models

    Published: 9/20/2024

  18. 819: PyTorch: From Zero to Hero, with Luka Anicin

    Published: 9/17/2024

  19. 818: In Case You Missed It in August 2024

    Published: 9/13/2024

  20. 817: The Positron IDE, Tidy NLP and MLOps with Dr. Julia Silge

    Published: 9/10/2024

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