877 Epizód

  1. 476: Peer-Driven Learning

    Közzétéve: 2021. 06. 04.

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

    Közzétéve: 2021. 06. 01.

  3. 474: The Machine Learning House

    Közzétéve: 2021. 05. 28.

  4. 473: Machine Learning at NVIDIA

    Közzétéve: 2021. 05. 25.

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

    Közzétéve: 2021. 05. 21.

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

    Közzétéve: 2021. 05. 18.

  7. 470: My Favorite Books

    Közzétéve: 2021. 05. 14.

  8. 469: Learning Deep Learning Together

    Közzétéve: 2021. 05. 11.

  9. 468: The History of Data

    Közzétéve: 2021. 05. 07.

  10. 467: High-Impact Data Science Made Easy

    Közzétéve: 2021. 05. 04.

  11. 466: Good vs. Great Data Scientists

    Közzétéve: 2021. 04. 30.

  12. 465: Analytics for Commercial and Personal Success

    Közzétéve: 2021. 04. 27.

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

    Közzétéve: 2021. 04. 23.

  14. 463: Time Series Analysis

    Közzétéve: 2021. 04. 20.

  15. 462: It Could Be Even Better

    Közzétéve: 2021. 04. 16.

  16. 461: MLOps for Renewable Energy

    Közzétéve: 2021. 04. 14.

  17. 460: The History of Algebra

    Közzétéve: 2021. 04. 09.

  18. 459: Tackling Climate Change with ML

    Közzétéve: 2021. 04. 07.

  19. 458: Behind the Scenes

    Közzétéve: 2021. 04. 02.

  20. 457: Landing Your Data Science Dream Job

    Közzétéve: 2021. 04. 01.

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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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