877 Epizód

  1. 436: Attention Sharpening Tools Part 2

    Közzétéve: 2021. 01. 15.

  2. 435: Scaling Up Machine Learning

    Közzétéve: 2021. 01. 14.

  3. 434: Attention Sharpening Tools Part 1

    Közzétéve: 2021. 01. 08.

  4. 433: Data Science Trends for 2021

    Közzétéve: 2021. 01. 07.

  5. 432: Hello from Jon and Welcome to 2021

    Közzétéve: 2021. 01. 01.

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

    Közzétéve: 2020. 12. 31.

  7. 430: Intellect and Intelligence

    Közzétéve: 2020. 12. 25.

  8. 429: 2020's Biggest Data Science Breakthroughs

    Közzétéve: 2020. 12. 24.

  9. 428: The Internal Conflict Model

    Közzétéve: 2020. 12. 18.

  10. 427: Impacting Through Technology

    Közzétéve: 2020. 12. 17.

  11. 426: The Shift: From Ambition to Meaning

    Közzétéve: 2020. 12. 11.

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

    Közzétéve: 2020. 12. 10.

  13. 424: A Symbiotic Relationship With AI

    Közzétéve: 2020. 12. 04.

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

    Közzétéve: 2020. 12. 03.

  15. 422: Pain Vs. Suffering

    Közzétéve: 2020. 11. 27.

  16. 421: Real-World Applications of Digital Twins

    Közzétéve: 2020. 11. 26.

  17. 420: Wheel of Life

    Közzétéve: 2020. 11. 20.

  18. 419: Unlocking the Architecture of Innovation

    Közzétéve: 2020. 11. 19.

  19. 418: Play With Feeling

    Közzétéve: 2020. 11. 13.

  20. 417: Data Engineering and Product Development

    Közzétéve: 2020. 11. 12.

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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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