877 Epizód

  1. SDS 496: 2040: A Brain-Computer Interface Story

    Közzétéve: 2021. 08. 13.

  2. SDS 495: Successful AI Projects and AI Startups

    Közzétéve: 2021. 08. 10.

  3. SDS 494: How to Instantly Appreciate Being Alive

    Közzétéve: 2021. 08. 06.

  4. SDS 493: Bringing Data to the People

    Közzétéve: 2021. 08. 03.

  5. SDS 492: The World is Awful (and it's Never Been Better)

    Közzétéve: 2021. 07. 30.

  6. SDS 491: R in Production

    Közzétéve: 2021. 07. 27.

  7. SDS 490: Say No to Pie Charts

    Közzétéve: 2021. 07. 23.

  8. SDS 489: Monetizing Machine Learning

    Közzétéve: 2021. 07. 20.

  9. SDS 488: The Price of Your Attention

    Közzétéve: 2021. 07. 16.

  10. SDS 487: Fixing Dirty Data

    Közzétéve: 2021. 07. 13.

  11. SDS 486: The History of Calculus

    Közzétéve: 2021. 07. 09.

  12. SDS 485: Financial Data Engineering

    Közzétéve: 2021. 07. 06.

  13. SDS 484: Algorithm Aversion

    Közzétéve: 2021. 07. 02.

  14. SDS 483: Setting Yourself Apart in Data Science Interviews

    Közzétéve: 2021. 06. 29.

  15. SDS 482: The Continuous Calendar

    Közzétéve: 2021. 06. 25.

  16. 481: Performance Marketing Analytics

    Közzétéve: 2021. 06. 22.

  17. 480: Top Five Resume Tips

    Közzétéve: 2021. 06. 18.

  18. 479: Knowledge Graphs

    Közzétéve: 2021. 06. 15.

  19. 478: Five Keys to Success

    Közzétéve: 2021. 06. 11.

  20. 477: How to Thrive as an Early-Career Data Scientist

    Közzétéve: 2021. 06. 08.

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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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