877 Episodo

  1. 196: Diversity in Data Science

    Publicado: 28/9/2018

  2. 195: Inspiration from the Founder of the R Ladies Organization

    Publicado: 26/9/2018

  3. 194: Why I Became Vegan

    Publicado: 21/9/2018

  4. 193: A serious talk on AI taking over jobs

    Publicado: 19/9/2018

  5. 192: Ace the "Greatest Weakness" Interview Question

    Publicado: 14/9/2018

  6. 191: Helping San Diego Become a Smart City

    Publicado: 12/9/2018

  7. 190: See You in San Diego

    Publicado: 7/9/2018

  8. 189: How I Got 45,000 Linkedin Followers in One Year

    Publicado: 5/9/2018

  9. 188: 6 Ways to Fill the Data Science Gap

    Publicado: 31/8/2018

  10. 187: How Data Science is Becoming a Science

    Publicado: 29/8/2018

  11. 186: Why Execution Trumps Knowledge

    Publicado: 24/8/2018

  12. 185: The Pre-Requisites for Analytics to Happen

    Publicado: 22/8/2018

  13. 184: Why You Need Domain Knowledge in Data Science

    Publicado: 17/8/2018

  14. 183: Everything about Data Analytics & its Future

    Publicado: 15/8/2018

  15. 182: The Importance of the Data Science Community

    Publicado: 10/8/2018

  16. 181: 10 Tips from a Data Science Consultant

    Publicado: 8/8/2018

  17. 180: The Idea Behind Essentialism

    Publicado: 3/8/2018

  18. 179: How a Data Science Recruiter Thinks

    Publicado: 1/8/2018

  19. 178: Visualization in Data Science

    Publicado: 27/7/2018

  20. 177: Building a Career in Data Science

    Publicado: 25/7/2018

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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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