877 Episodo

  1. 136: Learn Blockchain!

    Publicado: 2/3/2018

  2. 135: How Directors of Data Science Changes the World with Machine Learning and AI

    Publicado: 28/2/2018

  3. 134: How do Lobsters Grow?

    Publicado: 23/2/2018

  4. 133: How a Passion for Tableau Changed a Life

    Publicado: 22/2/2018

  5. 132: The Data-Driven Executive

    Publicado: 16/2/2018

  6. 131: The One Purpose to Data Science and The Truth about Analytics

    Publicado: 15/2/2018

  7. 130: Instant Gratification Monkey

    Publicado: 9/2/2018

  8. 129: Database Challenges for Data Science and How to Deal With Them

    Publicado: 8/2/2018

  9. 128: Confident Data Skills

    Publicado: 2/2/2018

  10. 127: No Compromise: Tableau, Twitter and Fearless Career Shifts

    Publicado: 31/1/2018

  11. 126: Ender's Game

    Publicado: 26/1/2018

  12. 125: A Glimpse into the Virtual Reality World of the Future

    Publicado: 24/1/2018

  13. 124: Reckless Commitment

    Publicado: 19/1/2018

  14. 123: How to be Unstoppable: Data Science, Reckless Commitment & Artificial Intelligence

    Publicado: 17/1/2018

  15. 122: Who Moved My Cheese?

    Publicado: 12/1/2018

  16. 121: Building a Successful Data Science Practice and How to be an Effective Data Scientist

    Publicado: 10/1/2018

  17. 120: Technological Singularity

    Publicado: 5/1/2018

  18. 119: Data Science Trends for 2018

    Publicado: 3/1/2018

  19. 118: New Year Resolutions

    Publicado: 29/12/2017

  20. 117: 1-on-1 with Kirill: What I learned in 2017

    Publicado: 28/12/2017

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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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