877 Epizód

  1. 236: How to Deal with Negative Emotions

    Közzétéve: 2019. 02. 15.

  2. 235: Living the Dream With Data Science

    Közzétéve: 2019. 02. 14.

  3. 234: Data Science in Education

    Közzétéve: 2019. 02. 08.

  4. 233: High Octane Data Science Leadership at Red Bull

    Közzétéve: 2019. 02. 07.

  5. 232: Sleep on it

    Közzétéve: 2019. 02. 01.

  6. 231: Data Visualizers: The Storytellers of Data Science

    Közzétéve: 2019. 01. 31.

  7. 230: SuperDataScience 2.0

    Közzétéve: 2019. 01. 25.

  8. 229: Data-Driven Approach of Doing Business

    Közzétéve: 2019. 01. 24.

  9. 228: Data Science in Mining

    Közzétéve: 2019. 01. 18.

  10. 227: Enhancing Your Mobile Gaming Experience With Data Science

    Közzétéve: 2019. 01. 17.

  11. 226: Flat Tyres Happen

    Közzétéve: 2019. 01. 11.

  12. 225: The Benefit of Having a Diverse Skill Set

    Közzétéve: 2019. 01. 10.

  13. 224: Hacks For Reading More Books

    Közzétéve: 2019. 01. 04.

  14. 223: Data Science Trends for 2019

    Közzétéve: 2019. 01. 03.

  15. SDS 222: 2018 in Numbers

    Közzétéve: 2018. 12. 28.

  16. 221: 1-on-1 with Kirill: What I learned in 2018

    Közzétéve: 2018. 12. 27.

  17. 220: Data Science in Retail

    Közzétéve: 2018. 12. 21.

  18. 219: How Kaplan uses Data for Education

    Közzétéve: 2018. 12. 20.

  19. 218: Start A Great Day

    Közzétéve: 2018. 12. 14.

  20. 217: Aerospace Engineers and Data Science

    Közzétéve: 2018. 12. 13.

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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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