877 Episodes

  1. 356: Working Remotely

    Published: 4/10/2020

  2. 355: DJ Patil on Harnessing the Power of Data Science Community

    Published: 4/8/2020

  3. 354: Negative Coefficients

    Published: 4/3/2020

  4. 353: How to Practice Human-Centric Data Science

    Published: 4/1/2020

  5. 352: History of Data Science - Part 5

    Published: 3/27/2020

  6. 351: Self-Starting In Data Science

    Published: 3/25/2020

  7. 350: Coronavirus

    Published: 3/20/2020

  8. 349: Human-in-the-Loop Algorithms in Retail

    Published: 3/19/2020

  9. 348: History of Data Science - Part 4

    Published: 3/13/2020

  10. 347: How To Tell Your Story For Career Success

    Published: 3/12/2020

  11. 346: My Top 5 Productivity Hacks

    Published: 3/6/2020

  12. 345: Machine Learning At Twitter

    Published: 3/5/2020

  13. 344: History of Data Science - Part 3

    Published: 2/28/2020

  14. 343: Career Jumpstarts through Data Science Retreat

    Published: 2/27/2020

  15. 342: History of Data Science - Part 2

    Published: 2/21/2020

  16. 341: Talking Robotics with Brandon Rohrer

    Published: 2/20/2020

  17. 340: History of Data Science - Part 1

    Published: 2/14/2020

  18. 339: The Power of Coaching

    Published: 2/13/2020

  19. 338: Too Many Photos

    Published: 2/7/2020

  20. 337: Hadley Wickham Talks Integration and Future of R and Python

    Published: 2/6/2020

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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.