877 Episodes

  1. 616: The Four Requirements for Expertise (beyond the “10,000 Hours”)

    Published: 10/7/2022

  2. 615: How to Ace Your Data Science Interview

    Published: 10/4/2022

  3. 614: Thriving on Information Overload

    Published: 9/30/2022

  4. 613: Causal Machine Learning

    Published: 9/27/2022

  5. 612: More Guests on Fridays

    Published: 9/23/2022

  6. 611: Open-Ended A.I.: Practical Applications for Humans and Machines

    Published: 9/20/2022

  7. 610: Who Dares Wins

    Published: 9/16/2022

  8. SDS 609: Data Mesh

    Published: 9/13/2022

  9. SDS 607: Inferring Causality

    Published: 9/9/2022

  10. SDS 608: Daily Habit #11: Assigning Deliverables

    Published: 9/8/2022

  11. SDS 607: Inferring Causality

    Published: 9/6/2022

  12. SDS 606: Four Thousand Weeks

    Published: 9/2/2022

  13. SDS 605: Upskilling in Data Science and Machine Learning

    Published: 8/30/2022

  14. SDS 604: Ignition: A Landmark Nuclear Fusion Milestone is Achieved

    Published: 8/26/2022

  15. SDS 603: Geospatial Data and Unconventional Routes into Data Careers

    Published: 8/23/2022

  16. SDS 602: We Are Living in Ancient Times

    Published: 8/19/2022

  17. SDS 601: Venture Capital for Data Science

    Published: 8/16/2022

  18. SDS 600: Yoga Nidra Practice with Steve Fazzari

    Published: 8/12/2022

  19. SDS 599: MLOps: Machine Learning Operations

    Published: 8/9/2022

  20. SDS 598: Getting Kids Excited about STEM Subjects

    Published: 8/5/2022

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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.