877 Episodo

  1. 236: How to Deal with Negative Emotions

    Publicado: 15/2/2019

  2. 235: Living the Dream With Data Science

    Publicado: 14/2/2019

  3. 234: Data Science in Education

    Publicado: 8/2/2019

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

    Publicado: 7/2/2019

  5. 232: Sleep on it

    Publicado: 1/2/2019

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

    Publicado: 31/1/2019

  7. 230: SuperDataScience 2.0

    Publicado: 25/1/2019

  8. 229: Data-Driven Approach of Doing Business

    Publicado: 24/1/2019

  9. 228: Data Science in Mining

    Publicado: 18/1/2019

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

    Publicado: 17/1/2019

  11. 226: Flat Tyres Happen

    Publicado: 11/1/2019

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

    Publicado: 10/1/2019

  13. 224: Hacks For Reading More Books

    Publicado: 4/1/2019

  14. 223: Data Science Trends for 2019

    Publicado: 3/1/2019

  15. SDS 222: 2018 in Numbers

    Publicado: 28/12/2018

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

    Publicado: 27/12/2018

  17. 220: Data Science in Retail

    Publicado: 21/12/2018

  18. 219: How Kaplan uses Data for Education

    Publicado: 20/12/2018

  19. 218: Start A Great Day

    Publicado: 14/12/2018

  20. 217: Aerospace Engineers and Data Science

    Publicado: 13/12/2018

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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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