877 Episodes

  1. 156: Parkinson's Law to Increase Productivity

    Published: 5/11/2018
  2. 155: How AI and Blockchain Converge

    Published: 5/9/2018
  3. 154: Why Socializing is Crucial

    Published: 5/4/2018
  4. 153: Tips to Improve your Memory

    Published: 5/2/2018
  5. 152: Data Science GO 2018

    Published: 4/27/2018
  6. 151: Women in Data Science & How to Help

    Published: 4/25/2018
  7. 150: Have a Mentor

    Published: 4/20/2018
  8. 149: Data Science Tips for Startups to Large Companies

    Published: 4/18/2018
  9. 148: The Trolley Problem

    Published: 4/13/2018
  10. 147: How to Live a More Fulfilling Life - Time & Energy Management

    Published: 4/11/2018
  11. 146: Empathy and Compassion

    Published: 4/6/2018
  12. 145: How to Use Data Science In Offline Business

    Published: 4/4/2018
  13. 144: Two Things to Remember and Two Things to Forget

    Published: 3/30/2018
  14. 143: Why Sensors and the Internet of Things are Becoming A Critical Part of Data Science

    Published: 3/28/2018
  15. 142: Coworking

    Published: 3/23/2018
  16. 141: Supply Chain Analytics, Worldwide Consulting and Learning Data Science In Your Career

    Published: 3/21/2018
  17. 140: Upper Limiting

    Published: 3/16/2018
  18. 139: The Rise of Blockchain: A Disruptive Super-Technology Much More Than Bitcoin

    Published: 3/14/2018
  19. 138: Zone of Genius

    Published: 3/9/2018
  20. 137: Cloud Technology: How It’s Changing Data Science, Collaboration and Enterprise

    Published: 3/8/2018

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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.