877 Epizód

  1. 216: Data Science In Healthcare

    Közzétéve: 2018. 12. 07.

  2. 215: Integrating Data Science as a Developer

    Közzétéve: 2018. 12. 06.

  3. 214: What Is Amazing In Your Life

    Közzétéve: 2018. 11. 30.

  4. 213: Amazing Tips from Two Legends of Visualization

    Közzétéve: 2018. 11. 29.

  5. 212: Model Driven Vs Data Driven

    Közzétéve: 2018. 11. 23.

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

    Közzétéve: 2018. 11. 22.

  7. 210: Compete With Yourself

    Közzétéve: 2018. 11. 16.

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

    Közzétéve: 2018. 11. 15.

  9. 208: Re-live DSGO2018

    Közzétéve: 2018. 11. 09.

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

    Közzétéve: 2018. 11. 08.

  11. 206: Machine Learning is All Aroud You

    Közzétéve: 2018. 11. 02.

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

    Közzétéve: 2018. 10. 31.

  13. 204: Set Your Goals Higher

    Közzétéve: 2018. 10. 26.

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

    Közzétéve: 2018. 10. 24.

  15. 202: Ideas and Execution

    Közzétéve: 2018. 10. 19.

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

    Közzétéve: 2018. 10. 18.

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

    Közzétéve: 2018. 10. 12.

  18. 199: Data Visualization Insights from NYU

    Közzétéve: 2018. 10. 10.

  19. 198: Two Millimeter Shifts

    Közzétéve: 2018. 10. 05.

  20. 197: How to be Happy and Successful

    Közzétéve: 2018. 10. 03.

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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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