877 Epizód

  1. 096: Bayes Theorem

    Közzétéve: 2017. 10. 13.

  2. 095: From Uber to Data Science – A Winner’s Journey

    Közzétéve: 2017. 10. 11.

  3. 094: The Power of Now

    Közzétéve: 2017. 10. 06.

  4. 093: Why Evolutionary Programming Machine Learning is Important

    Közzétéve: 2017. 10. 04.

  5. 092: Exponential Thinking

    Közzétéve: 2017. 09. 29.

  6. 091: Lessons From a Successful Career in Data Visualization

    Közzétéve: 2017. 09. 27.

  7. 090: Do What You Want

    Közzétéve: 2017. 09. 22.

  8. 089: Using Excel in Data Science and Life-Long Learning

    Közzétéve: 2017. 09. 20.

  9. 088: Fermi Questions

    Közzétéve: 2017. 09. 15.

  10. 087: Business Intelligence – The Role of Data Visualization

    Közzétéve: 2017. 09. 13.

  11. 086: Computer Vision

    Közzétéve: 2017. 09. 08.

  12. 085: The AI Revolution – What the Future Will Look Like

    Közzétéve: 2017. 09. 06.

  13. 084: Why I Became Vegetarian

    Közzétéve: 2017. 09. 01.

  14. 083: Leveraging Your Experience into Data Science

    Közzétéve: 2017. 08. 30.

  15. 082: Data Science Go

    Közzétéve: 2017. 08. 25.

  16. 081: Data Visualization & How to Freelance Your Passion

    Közzétéve: 2017. 08. 23.

  17. 080: Your Questions

    Közzétéve: 2017. 08. 19.

  18. 079: Reinforcement Learning - What You Need to Know

    Közzétéve: 2017. 08. 16.

  19. 078: Breaking Patterns

    Közzétéve: 2017. 08. 11.

  20. 077: Finding the Right Data Science Company That Best Fits You

    Közzétéve: 2017. 08. 09.

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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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