877 Episodo

  1. 476: Peer-Driven Learning

    Publicado: 4/6/2021

  2. 475: The 20% of Analytics Driving 80% of ROI

    Publicado: 1/6/2021

  3. 474: The Machine Learning House

    Publicado: 28/5/2021

  4. 473: Machine Learning at NVIDIA

    Publicado: 25/5/2021

  5. 472: The Learning Never Stops (so Relax)

    Publicado: 21/5/2021

  6. 471: 99 Days to Your First Data Science Job

    Publicado: 18/5/2021

  7. 470: My Favorite Books

    Publicado: 14/5/2021

  8. 469: Learning Deep Learning Together

    Publicado: 11/5/2021

  9. 468: The History of Data

    Publicado: 7/5/2021

  10. 467: High-Impact Data Science Made Easy

    Publicado: 4/5/2021

  11. 466: Good vs. Great Data Scientists

    Publicado: 30/4/2021

  12. 465: Analytics for Commercial and Personal Success

    Publicado: 27/4/2021

  13. 464: A.I. vs Machine Learning vs Deep Learning

    Publicado: 23/4/2021

  14. 463: Time Series Analysis

    Publicado: 20/4/2021

  15. 462: It Could Be Even Better

    Publicado: 16/4/2021

  16. 461: MLOps for Renewable Energy

    Publicado: 14/4/2021

  17. 460: The History of Algebra

    Publicado: 9/4/2021

  18. 459: Tackling Climate Change with ML

    Publicado: 7/4/2021

  19. 458: Behind the Scenes

    Publicado: 2/4/2021

  20. 457: Landing Your Data Science Dream Job

    Publicado: 1/4/2021

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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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