877 Epizód

  1. 276: Data Science in Wealth Management

    Közzétéve: 2019. 07. 05.

  2. 275: Machine Learning Through Reinforcement & Contextual Bandits

    Közzétéve: 2019. 07. 03.

  3. 274: Ask the Right Question

    Közzétéve: 2019. 06. 28.

  4. 273: Predict, Prevent, Detect: Cyber Security

    Közzétéve: 2019. 06. 26.

  5. 272: Data Science in Energy

    Közzétéve: 2019. 06. 21.

  6. 271: Making the Public Graphically Literate

    Közzétéve: 2019. 06. 19.

  7. 270: The Cold is My Master

    Közzétéve: 2019. 06. 14.

  8. 269: Maximizing Advertising Efforts With Data

    Közzétéve: 2019. 06. 12.

  9. 268: Data Science in Insurance

    Közzétéve: 2019. 06. 07.

  10. 267: Achieving Data Science Maturity

    Közzétéve: 2019. 06. 05.

  11. 266: Exploration vs Exploitation

    Közzétéve: 2019. 05. 31.

  12. 265: Data Science in the World of Big Data

    Közzétéve: 2019. 05. 29.

  13. 264: Data Science in Agriculture

    Közzétéve: 2019. 05. 24.

  14. 263: Communicating Data

    Közzétéve: 2019. 05. 22.

  15. 262: You Cannot Make Progress Without a Routine

    Közzétéve: 2019. 05. 17.

  16. 261: Succeeding in Data Science with the Trichotomy of Control

    Közzétéve: 2019. 05. 15.

  17. 260: Data Science in Real Estate

    Közzétéve: 2019. 05. 10.

  18. 259: Building Machine Autonomy With Neural Networks

    Közzétéve: 2019. 05. 08.

  19. 258: Eating S.L.O.W.L.Y.

    Közzétéve: 2019. 05. 03.

  20. 257: AI: How Far We Haven’t Actually Come

    Közzétéve: 2019. 05. 01.

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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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