877 Epizód

  1. 196: Diversity in Data Science

    Közzétéve: 2018. 09. 28.

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

    Közzétéve: 2018. 09. 26.

  3. 194: Why I Became Vegan

    Közzétéve: 2018. 09. 21.

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

    Közzétéve: 2018. 09. 19.

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

    Közzétéve: 2018. 09. 14.

  6. 191: Helping San Diego Become a Smart City

    Közzétéve: 2018. 09. 12.

  7. 190: See You in San Diego

    Közzétéve: 2018. 09. 07.

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

    Közzétéve: 2018. 09. 05.

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

    Közzétéve: 2018. 08. 31.

  10. 187: How Data Science is Becoming a Science

    Közzétéve: 2018. 08. 29.

  11. 186: Why Execution Trumps Knowledge

    Közzétéve: 2018. 08. 24.

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

    Közzétéve: 2018. 08. 22.

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

    Közzétéve: 2018. 08. 17.

  14. 183: Everything about Data Analytics & its Future

    Közzétéve: 2018. 08. 15.

  15. 182: The Importance of the Data Science Community

    Közzétéve: 2018. 08. 10.

  16. 181: 10 Tips from a Data Science Consultant

    Közzétéve: 2018. 08. 08.

  17. 180: The Idea Behind Essentialism

    Közzétéve: 2018. 08. 03.

  18. 179: How a Data Science Recruiter Thinks

    Közzétéve: 2018. 08. 01.

  19. 178: Visualization in Data Science

    Közzétéve: 2018. 07. 27.

  20. 177: Building a Career in Data Science

    Közzétéve: 2018. 07. 25.

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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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