Data Skeptic

A podcast by Kyle Polich

Categories:

565 Episodes

  1. Spam Filtering with Naive Bayes

    Published: 7/27/2018
  2. The Spread of Fake News

    Published: 7/20/2018
  3. Fake News

    Published: 7/13/2018
  4. Dev Ops for Data Science

    Published: 7/11/2018
  5. First Order Logic

    Published: 7/6/2018
  6. Blind Spots in Reinforcement Learning

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

    Published: 6/22/2018
  8. Transfer Learning

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

    Published: 6/8/2018
  10. Kalman Filters

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

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

    Published: 5/18/2018
  13. Game Theory

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

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

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

    Published: 4/20/2018
  17. Eugene Goostman

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

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

    Published: 3/30/2018
  20. Chatbots

    Published: 3/23/2018

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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.