877 Episoade

  1. 216: Data Science In Healthcare

    Publicat: 07.12.2018

  2. 215: Integrating Data Science as a Developer

    Publicat: 06.12.2018

  3. 214: What Is Amazing In Your Life

    Publicat: 30.11.2018

  4. 213: Amazing Tips from Two Legends of Visualization

    Publicat: 29.11.2018

  5. 212: Model Driven Vs Data Driven

    Publicat: 23.11.2018

  6. 211: Working on Apache Spark & R Package Development

    Publicat: 22.11.2018

  7. 210: Compete With Yourself

    Publicat: 16.11.2018

  8. SDS 209: Full-Time Data Scientist after just 1 year in the field

    Publicat: 15.11.2018

  9. 208: Re-live DSGO2018

    Publicat: 09.11.2018

  10. 207: The Technical Skills that Actually Add Business Value

    Publicat: 08.11.2018

  11. 206: Machine Learning is All Aroud You

    Publicat: 02.11.2018

  12. 205: Contributing to the community as a Data Science Influencer

    Publicat: 31.10.2018

  13. 204: Set Your Goals Higher

    Publicat: 26.10.2018

  14. 203: Highlights of DSGO 2018 According to an Aspiring Data Scientist

    Publicat: 24.10.2018

  15. 202: Ideas and Execution

    Publicat: 19.10.2018

  16. 201: Emerging Technologies: Challenges and Opportunities in a Revolutionized World

    Publicat: 18.10.2018

  17. 200: What’s the Future of Data Science? Speaker Mashup Edition

    Publicat: 12.10.2018

  18. 199: Data Visualization Insights from NYU

    Publicat: 10.10.2018

  19. 198: Two Millimeter Shifts

    Publicat: 05.10.2018

  20. 197: How to be Happy and Successful

    Publicat: 03.10.2018

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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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