877 Episodo

  1. 116: The Power of Gratitude

    Publicado: 22/12/2017

  2. 115: Application of Geospatial Analytics to Business and Real Life

    Publicado: 21/12/2017

  3. 114: Expand Your Comfort Zone

    Publicado: 15/12/2017

  4. 113: How Constant Learning Created a Jet-Set Career

    Publicado: 13/12/2017

  5. 112: How to Win Friends & Influence People

    Publicado: 8/12/2017

  6. 111: The Power of Soft Skills in Data Science

    Publicado: 6/12/2017

  7. 110: AlphaGo Zero

    Publicado: 2/12/2017

  8. 109: Business Consultancy in the Space of Data Science

    Publicado: 29/11/2017

  9. 108: Working Remotely

    Publicado: 24/11/2017

  10. 107: Charting a Career in Energy Analytics

    Publicado: 22/11/2017

  11. 106: Recap of our DataScienceGO 2017 Conference

    Publicado: 17/11/2017

  12. 105: DataScienceGO’s Discussion Panel on Careers

    Publicado: 15/11/2017

  13. 104: Board Games

    Publicado: 10/11/2017

  14. 103: Why this Is the Golden Age of Data Science & How to Get In

    Publicado: 8/11/2017

  15. 102: Intuition vs Mathematics in Data Science

    Publicado: 3/11/2017

  16. 101: What a Data Science Headhunter is Looking For

    Publicado: 1/11/2017

  17. 100: 100 Episodes

    Publicado: 27/10/2017

  18. 099: How a Software Developer Re-Focused his life to Learn Artificial Intelligence

    Publicado: 25/10/2017

  19. 098: Willpower

    Publicado: 20/10/2017

  20. 097: Leveraging Data Science Techniques into E-Commerce & Other Fields

    Publicado: 18/10/2017

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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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