877 Folgen

  1. 336: Better Than Perfect

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

    Vom: 30.1.2020
  3. 334: No Coaching

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

    Vom: 23.1.2020
  5. 332: Go through the Motions

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

    Vom: 16.1.2020
  7. 330: Good!

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

    Vom: 9.1.2020
  9. 328: Look for the Horse

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

    Vom: 2.1.2020
  11. 326: Who Inspires You?

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

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

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

    Vom: 19.12.2019
  15. 322: Diets

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

    Vom: 12.12.2019
  17. 320: Mentorship

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

    Vom: 5.12.2019
  19. 318: Amazing

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

    Vom: 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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