877 Episodo

  1. 356: Working Remotely

    Publicado: 10/4/2020

  2. 355: DJ Patil on Harnessing the Power of Data Science Community

    Publicado: 8/4/2020

  3. 354: Negative Coefficients

    Publicado: 3/4/2020

  4. 353: How to Practice Human-Centric Data Science

    Publicado: 1/4/2020

  5. 352: History of Data Science - Part 5

    Publicado: 27/3/2020

  6. 351: Self-Starting In Data Science

    Publicado: 25/3/2020

  7. 350: Coronavirus

    Publicado: 20/3/2020

  8. 349: Human-in-the-Loop Algorithms in Retail

    Publicado: 19/3/2020

  9. 348: History of Data Science - Part 4

    Publicado: 13/3/2020

  10. 347: How To Tell Your Story For Career Success

    Publicado: 12/3/2020

  11. 346: My Top 5 Productivity Hacks

    Publicado: 6/3/2020

  12. 345: Machine Learning At Twitter

    Publicado: 5/3/2020

  13. 344: History of Data Science - Part 3

    Publicado: 28/2/2020

  14. 343: Career Jumpstarts through Data Science Retreat

    Publicado: 27/2/2020

  15. 342: History of Data Science - Part 2

    Publicado: 21/2/2020

  16. 341: Talking Robotics with Brandon Rohrer

    Publicado: 20/2/2020

  17. 340: History of Data Science - Part 1

    Publicado: 14/2/2020

  18. 339: The Power of Coaching

    Publicado: 13/2/2020

  19. 338: Too Many Photos

    Publicado: 7/2/2020

  20. 337: Hadley Wickham Talks Integration and Future of R and Python

    Publicado: 6/2/2020

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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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