877 Episodo

  1. 216: Data Science In Healthcare

    Publicado: 7/12/2018

  2. 215: Integrating Data Science as a Developer

    Publicado: 6/12/2018

  3. 214: What Is Amazing In Your Life

    Publicado: 30/11/2018

  4. 213: Amazing Tips from Two Legends of Visualization

    Publicado: 29/11/2018

  5. 212: Model Driven Vs Data Driven

    Publicado: 23/11/2018

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

    Publicado: 22/11/2018

  7. 210: Compete With Yourself

    Publicado: 16/11/2018

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

    Publicado: 15/11/2018

  9. 208: Re-live DSGO2018

    Publicado: 9/11/2018

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

    Publicado: 8/11/2018

  11. 206: Machine Learning is All Aroud You

    Publicado: 2/11/2018

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

    Publicado: 31/10/2018

  13. 204: Set Your Goals Higher

    Publicado: 26/10/2018

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

    Publicado: 24/10/2018

  15. 202: Ideas and Execution

    Publicado: 19/10/2018

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

    Publicado: 18/10/2018

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

    Publicado: 12/10/2018

  18. 199: Data Visualization Insights from NYU

    Publicado: 10/10/2018

  19. 198: Two Millimeter Shifts

    Publicado: 5/10/2018

  20. 197: How to be Happy and Successful

    Publicado: 3/10/2018

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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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