877 Episodes

  1. SDS 537: Data Science Trends for 2022

    Published: 1/4/2022
  2. SDS 536: What I Learned in 2021

    Published: 12/31/2021
  3. SDS 535: How to Found, Grow, and Sell a Data Science Start-up

    Published: 12/28/2021
  4. SDS 534: A Holiday Greeting

    Published: 12/24/2021
  5. SDS 533: Fusion Energy, Cancer Proteomics, and Massive-Scale Machine Vision — with Dr. Brett Tully

    Published: 12/21/2021
  6. SDS 532: Mutable vs Immutable Conditions

    Published: 12/17/2021
  7. SDS 531: Data Science at the Command Line

    Published: 12/14/2021
  8. SDS 530: Ten A.I. Thought Leaders to Follow (on Twitter)

    Published: 12/10/2021
  9. SDS 529: A.I. Robotics at Home

    Published: 12/7/2021
  10. SDS 528: The Normal Anxiety of Content Creation

    Published: 12/3/2021
  11. SDS 527: Automating Data Analytics

    Published: 11/30/2021
  12. SDS 526: The Highest-Paying Data Frameworks

    Published: 11/26/2021
  13. SDS 525: Hurdling Over Data Career Obstacles

    Published: 11/23/2021
  14. SDS 524: The Highest-Paying Data Tools

    Published: 11/19/2021
  15. SDS 523: Open-Source Analytical Computing (pandas, Apache Arrow)

    Published: 11/16/2021
  16. SDS 522: Data Tools vs. Data Platforms

    Published: 11/12/2021
  17. SDS 521: Skyrocket Your Career by Sharing Your Writing

    Published: 11/9/2021
  18. SDS 520: The Highest-Paying Programming Languages for Data Scientists

    Published: 11/5/2021
  19. SDS 519: A.I. for Good

    Published: 11/2/2021
  20. SDS 518: Fail More

    Published: 10/29/2021

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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.