877 Episodo

  1. 436: Attention Sharpening Tools Part 2

    Publicado: 15/1/2021

  2. 435: Scaling Up Machine Learning

    Publicado: 14/1/2021

  3. 434: Attention Sharpening Tools Part 1

    Publicado: 8/1/2021

  4. 433: Data Science Trends for 2021

    Publicado: 7/1/2021

  5. 432: Hello from Jon and Welcome to 2021

    Publicado: 1/1/2021

  6. 431: One-on-one with Kirill: What I learned in 2020

    Publicado: 31/12/2020

  7. 430: Intellect and Intelligence

    Publicado: 25/12/2020

  8. 429: 2020's Biggest Data Science Breakthroughs

    Publicado: 24/12/2020

  9. 428: The Internal Conflict Model

    Publicado: 18/12/2020

  10. 427: Impacting Through Technology

    Publicado: 17/12/2020

  11. 426: The Shift: From Ambition to Meaning

    Publicado: 11/12/2020

  12. 425: The Past, Present, and Future of AI Services

    Publicado: 10/12/2020

  13. 424: A Symbiotic Relationship With AI

    Publicado: 4/12/2020

  14. 423: The Growth and Future of STEM in Africa

    Publicado: 3/12/2020

  15. 422: Pain Vs. Suffering

    Publicado: 27/11/2020

  16. 421: Real-World Applications of Digital Twins

    Publicado: 26/11/2020

  17. 420: Wheel of Life

    Publicado: 20/11/2020

  18. 419: Unlocking the Architecture of Innovation

    Publicado: 19/11/2020

  19. 418: Play With Feeling

    Publicado: 13/11/2020

  20. 417: Data Engineering and Product Development

    Publicado: 12/11/2020

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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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