877 Epizód

  1. 296: Who You Become

    Közzétéve: 2019. 09. 13.

  2. 295: A Deep Conversation About Tech & Life

    Közzétéve: 2019. 09. 11.

  3. 294: Perception of AI in Big Companies

    Közzétéve: 2019. 09. 06.

  4. 293: True Personalization Through Reinforcement Learning

    Közzétéve: 2019. 09. 04.

  5. 292: Introverts and Extroverts

    Közzétéve: 2019. 08. 30.

  6. 291: Changing the World With Theory & Data

    Közzétéve: 2019. 08. 28.

  7. 290: The Passion Paradox

    Közzétéve: 2019. 08. 23.

  8. 289: AI, Deepfakes and Call of Duty

    Közzétéve: 2019. 08. 21.

  9. 288: Love Yourself

    Közzétéve: 2019. 08. 16.

  10. 287: How To Be Social About Data Science

    Közzétéve: 2019. 08. 14.

  11. 286: Solitude Deprivation

    Közzétéve: 2019. 08. 09.

  12. 285: Bringing Dev & Diverse Communities Into Data Science

    Közzétéve: 2019. 08. 07.

  13. 284: Proximity is Power

    Közzétéve: 2019. 08. 02.

  14. 283: Getting The Most Out of Data With Gradient Boosting

    Közzétéve: 2019. 07. 31.

  15. 282: Learning Something New

    Közzétéve: 2019. 07. 26.

  16. 281: Futureproofing Your Digital Marketing Tactics

    Közzétéve: 2019. 07. 24.

  17. 280: Gap Year

    Közzétéve: 2019. 07. 19.

  18. 279: Embedding Data Science in Business

    Közzétéve: 2019. 07. 17.

  19. 278: Your Core Strength

    Közzétéve: 2019. 07. 12.

  20. 277: The New Age of Reason

    Közzétéve: 2019. 07. 10.

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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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