877 Epizód

  1. 336: Better Than Perfect

    Közzétéve: 2020. 01. 31.

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

    Közzétéve: 2020. 01. 30.

  3. 334: No Coaching

    Közzétéve: 2020. 01. 24.

  4. 333: BERT and NLP in 2020 and Beyond

    Közzétéve: 2020. 01. 23.

  5. 332: Go through the Motions

    Közzétéve: 2020. 01. 17.

  6. 331: Hacking Data Science Interviews for Graduates

    Közzétéve: 2020. 01. 16.

  7. 330: Good!

    Közzétéve: 2020. 01. 10.

  8. 329: Telling a Story Right with Data

    Közzétéve: 2020. 01. 09.

  9. 328: Look for the Horse

    Közzétéve: 2020. 01. 03.

  10. 327: Data Science Trends for 2020

    Közzétéve: 2020. 01. 02.

  11. 326: Who Inspires You?

    Közzétéve: 2019. 12. 27.

  12. 325: What I Learned in 2019

    Közzétéve: 2019. 12. 26.

  13. 324: Proximity is Power #2

    Közzétéve: 2019. 12. 20.

  14. 323: Data Science as a Freelance Career

    Közzétéve: 2019. 12. 19.

  15. 322: Diets

    Közzétéve: 2019. 12. 13.

  16. 321: The Life of One Advanced Data Scientist

    Közzétéve: 2019. 12. 12.

  17. 320: Mentorship

    Közzétéve: 2019. 12. 06.

  18. 319: The Path to Data Visualization

    Közzétéve: 2019. 12. 05.

  19. 318: Amazing

    Közzétéve: 2019. 11. 29.

  20. 317: A Deep Dive Into Neural Nets

    Közzétéve: 2019. 11. 28.

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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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