Data Skeptic

Un podcast de Kyle Polich

Catégories:

549 Épisodes

  1. Click Through Rates

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

    Publié: 17/08/2018
  3. Ant Intelligence

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

    Publié: 03/08/2018
  5. Spam Filtering with Naive Bayes

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

    Publié: 20/07/2018
  7. Fake News

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

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

    Publié: 06/07/2018
  10. Blind Spots in Reinforcement Learning

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

    Publié: 22/06/2018
  12. Transfer Learning

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

    Publié: 08/06/2018
  14. Kalman Filters

    Publié: 01/06/2018
  15. AI in Industry

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

    Publié: 18/05/2018
  17. Game Theory

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

    Publié: 04/05/2018
  19. Winograd Schema Challenge

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

    Publié: 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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