877 Episodes

  1. 656: A.I. Talent and the Red-Hot A.I. Skills

    Published: 2/24/2023

  2. 655: AI ROI: How to get a profitable return on an AI-project investment

    Published: 2/21/2023

  3. 654: Mike Wimmer: The 14-Year-Old A.I. Entrepreneur

    Published: 2/17/2023

  4. 653: Efficiently Glean-ing Insights from Vast Data Warehouses

    Published: 2/14/2023

  5. 652: A.I. Speech for the Speechless

    Published: 2/10/2023

  6. 651: The Intentional Use of Color in Data Communication

    Published: 2/7/2023

  7. 650: SparseGPT: Remove 100 Billion Parameters but Retain 100% Accuracy

    Published: 2/3/2023

  8. 649: Introduction to Machine Learning

    Published: 1/31/2023

  9. 648: VALL-E: Uncannily Realistic Voice Imitation from a 3-Second Clip

    Published: 1/27/2023

  10. 647: Is Data Science Still Sexy?

    Published: 1/24/2023

  11. 646: ChatGPT: How to Extract Commercial Value Today

    Published: 1/20/2023

  12. 645: Machine Learning for Video Games

    Published: 1/17/2023

  13. 644: A Framework for Big Life Decisions

    Published: 1/13/2023

  14. 643: A.I. for Medicine

    Published: 1/10/2023

  15. 642: Continuous Calendar for 2023

    Published: 1/6/2023

  16. 641: Data Science Trends for 2023

    Published: 1/3/2023

  17. 640: What I Learned in 2022

    Published: 12/30/2022

  18. 639: Simplifying Machine Learning

    Published: 12/27/2022

  19. 638: ChatGPT Holiday Greeting

    Published: 12/23/2022

  20. 637: How to Influence Others with Your Data

    Published: 12/20/2022

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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.