Data Skeptic

A podcast by Kyle Polich

Categories:

540 Episodes

  1. Blind Spots in Reinforcement Learning

    Published: 6/29/2018
  2. Defending Against Adversarial Attacks

    Published: 6/22/2018
  3. Transfer Learning

    Published: 6/15/2018
  4. Medical Imaging Training Techniques

    Published: 6/8/2018
  5. Kalman Filters

    Published: 6/1/2018
  6. AI in Industry

    Published: 5/25/2018
  7. AI in Games

    Published: 5/18/2018
  8. Game Theory

    Published: 5/11/2018
  9. The Experimental Design of Paranormal Claims

    Published: 5/4/2018
  10. Winograd Schema Challenge

    Published: 4/27/2018
  11. The Imitation Game

    Published: 4/20/2018
  12. Eugene Goostman

    Published: 4/13/2018
  13. The Theory of Formal Languages

    Published: 4/6/2018
  14. The Loebner Prize

    Published: 3/30/2018
  15. Chatbots

    Published: 3/23/2018
  16. The Master Algorithm

    Published: 3/16/2018
  17. The No Free Lunch Theorems

    Published: 3/9/2018
  18. ML at Sloan Kettering Cancer Center

    Published: 3/2/2018
  19. Optimal Decision Making with POMDPs

    Published: 2/23/2018
  20. AI Decision-Making

    Published: 2/16/2018

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The Data Skeptic Podcast features interviews and discussion of topics related to data science, statistics, machine learning, artificial intelligence and the like, all from the perspective of applying critical thinking and the scientific method to evaluate the veracity of claims and efficacy of approaches.