Data Skeptic

A podcast by Kyle Polich

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549 Episodes

  1. Click Through Rates

    Published: 24/08/2018
  2. Algorithmic Detection of Fake News

    Published: 17/08/2018
  3. Ant Intelligence

    Published: 10/08/2018
  4. Human Detection of Fake News

    Published: 3/08/2018
  5. Spam Filtering with Naive Bayes

    Published: 27/07/2018
  6. The Spread of Fake News

    Published: 20/07/2018
  7. Fake News

    Published: 13/07/2018
  8. Dev Ops for Data Science

    Published: 11/07/2018
  9. First Order Logic

    Published: 6/07/2018
  10. Blind Spots in Reinforcement Learning

    Published: 29/06/2018
  11. Defending Against Adversarial Attacks

    Published: 22/06/2018
  12. Transfer Learning

    Published: 15/06/2018
  13. Medical Imaging Training Techniques

    Published: 8/06/2018
  14. Kalman Filters

    Published: 1/06/2018
  15. AI in Industry

    Published: 25/05/2018
  16. AI in Games

    Published: 18/05/2018
  17. Game Theory

    Published: 11/05/2018
  18. The Experimental Design of Paranormal Claims

    Published: 4/05/2018
  19. Winograd Schema Challenge

    Published: 27/04/2018
  20. The Imitation Game

    Published: 20/04/2018

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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.

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