877 Episodo

  1. 336: Better Than Perfect

    Publicado: 31/1/2020

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

    Publicado: 30/1/2020

  3. 334: No Coaching

    Publicado: 24/1/2020

  4. 333: BERT and NLP in 2020 and Beyond

    Publicado: 23/1/2020

  5. 332: Go through the Motions

    Publicado: 17/1/2020

  6. 331: Hacking Data Science Interviews for Graduates

    Publicado: 16/1/2020

  7. 330: Good!

    Publicado: 10/1/2020

  8. 329: Telling a Story Right with Data

    Publicado: 9/1/2020

  9. 328: Look for the Horse

    Publicado: 3/1/2020

  10. 327: Data Science Trends for 2020

    Publicado: 2/1/2020

  11. 326: Who Inspires You?

    Publicado: 27/12/2019

  12. 325: What I Learned in 2019

    Publicado: 26/12/2019

  13. 324: Proximity is Power #2

    Publicado: 20/12/2019

  14. 323: Data Science as a Freelance Career

    Publicado: 19/12/2019

  15. 322: Diets

    Publicado: 13/12/2019

  16. 321: The Life of One Advanced Data Scientist

    Publicado: 12/12/2019

  17. 320: Mentorship

    Publicado: 6/12/2019

  18. 319: The Path to Data Visualization

    Publicado: 5/12/2019

  19. 318: Amazing

    Publicado: 29/11/2019

  20. 317: A Deep Dive Into Neural Nets

    Publicado: 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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