877 Episoder

  1. 336: Better Than Perfect

    Udgivet: 31.1.2020
  2. 335: Many Ways to Fail & Five Ways to Succeed in Startups

    Udgivet: 30.1.2020
  3. 334: No Coaching

    Udgivet: 24.1.2020
  4. 333: BERT and NLP in 2020 and Beyond

    Udgivet: 23.1.2020
  5. 332: Go through the Motions

    Udgivet: 17.1.2020
  6. 331: Hacking Data Science Interviews for Graduates

    Udgivet: 16.1.2020
  7. 330: Good!

    Udgivet: 10.1.2020
  8. 329: Telling a Story Right with Data

    Udgivet: 9.1.2020
  9. 328: Look for the Horse

    Udgivet: 3.1.2020
  10. 327: Data Science Trends for 2020

    Udgivet: 2.1.2020
  11. 326: Who Inspires You?

    Udgivet: 27.12.2019
  12. 325: What I Learned in 2019

    Udgivet: 26.12.2019
  13. 324: Proximity is Power #2

    Udgivet: 20.12.2019
  14. 323: Data Science as a Freelance Career

    Udgivet: 19.12.2019
  15. 322: Diets

    Udgivet: 13.12.2019
  16. 321: The Life of One Advanced Data Scientist

    Udgivet: 12.12.2019
  17. 320: Mentorship

    Udgivet: 6.12.2019
  18. 319: The Path to Data Visualization

    Udgivet: 5.12.2019
  19. 318: Amazing

    Udgivet: 29.11.2019
  20. 317: A Deep Dive Into Neural Nets

    Udgivet: 28.11.2019

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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.

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