877 Episodes

  1. 476: Peer-Driven Learning

    Published: 6/4/2021

  2. 475: The 20% of Analytics Driving 80% of ROI

    Published: 6/1/2021

  3. 474: The Machine Learning House

    Published: 5/28/2021

  4. 473: Machine Learning at NVIDIA

    Published: 5/25/2021

  5. 472: The Learning Never Stops (so Relax)

    Published: 5/21/2021

  6. 471: 99 Days to Your First Data Science Job

    Published: 5/18/2021

  7. 470: My Favorite Books

    Published: 5/14/2021

  8. 469: Learning Deep Learning Together

    Published: 5/11/2021

  9. 468: The History of Data

    Published: 5/7/2021

  10. 467: High-Impact Data Science Made Easy

    Published: 5/4/2021

  11. 466: Good vs. Great Data Scientists

    Published: 4/30/2021

  12. 465: Analytics for Commercial and Personal Success

    Published: 4/27/2021

  13. 464: A.I. vs Machine Learning vs Deep Learning

    Published: 4/23/2021

  14. 463: Time Series Analysis

    Published: 4/20/2021

  15. 462: It Could Be Even Better

    Published: 4/16/2021

  16. 461: MLOps for Renewable Energy

    Published: 4/14/2021

  17. 460: The History of Algebra

    Published: 4/9/2021

  18. 459: Tackling Climate Change with ML

    Published: 4/7/2021

  19. 458: Behind the Scenes

    Published: 4/2/2021

  20. 457: Landing Your Data Science Dream Job

    Published: 4/1/2021

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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.