877 Epizód

  1. 316: Make It About Yourself

    Közzétéve: 2019. 11. 22.

  2. 315: Making Data Accessible

    Közzétéve: 2019. 11. 21.

  3. 314: Meet the Team

    Közzétéve: 2019. 11. 15.

  4. 313: The Power of Online Data Education

    Közzétéve: 2019. 11. 14.

  5. 312: Contemplation

    Közzétéve: 2019. 11. 08.

  6. 311: Using Data Right In Smart Cities

    Közzétéve: 2019. 11. 07.

  7. 310: Trial by Fire

    Közzétéve: 2019. 11. 01.

  8. 309: Learning Through Competition

    Közzétéve: 2019. 10. 30.

  9. 308: Your Tribe

    Közzétéve: 2019. 10. 25.

  10. 307: Problem Solving Through Better Thinking

    Közzétéve: 2019. 10. 23.

  11. 306: Pura Vida

    Közzétéve: 2019. 10. 18.

  12. 305: Using Data Visualization Tools

    Közzétéve: 2019. 10. 16.

  13. 304: The Law of Attraction

    Közzétéve: 2019. 10. 11.

  14. 303: Proper Hypothesis Testing For Every Field

    Közzétéve: 2019. 10. 09.

  15. 302: What is Data Science to you?

    Közzétéve: 2019. 10. 04.

  16. 301: Finding Your Edge

    Közzétéve: 2019. 10. 02.

  17. 300: Legacy

    Közzétéve: 2019. 09. 27.

  18. 299: Becoming Seasoned At Failure

    Közzétéve: 2019. 09. 25.

  19. 298: The Six Months Rule

    Közzétéve: 2019. 09. 20.

  20. 297: Fortitude & Passion in the Data Science Journey

    Közzétéve: 2019. 09. 18.

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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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