877 Epizód

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

    Közzétéve: 2024. 11. 15.

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

    Közzétéve: 2024. 11. 12.

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

    Közzétéve: 2024. 11. 08.

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

    Közzétéve: 2024. 11. 05.

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

    Közzétéve: 2024. 11. 01.

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

    Közzétéve: 2024. 10. 29.

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

    Közzétéve: 2024. 10. 25.

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

    Közzétéve: 2024. 10. 22.

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

    Közzétéve: 2024. 10. 18.

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

    Közzétéve: 2024. 10. 15.

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

    Közzétéve: 2024. 10. 11.

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

    Közzétéve: 2024. 10. 08.

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

    Közzétéve: 2024. 10. 04.

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

    Közzétéve: 2024. 10. 01.

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

    Közzétéve: 2024. 09. 27.

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

    Közzétéve: 2024. 09. 24.

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

    Közzétéve: 2024. 09. 20.

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

    Közzétéve: 2024. 09. 17.

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

    Közzétéve: 2024. 09. 13.

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

    Közzétéve: 2024. 09. 10.

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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.

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