Data Skeptic

Un podcast de Kyle Polich

Catégories:

549 Épisodes

  1. Voting Mechanisms

    Publié: 31/08/2020
  2. False Consensus

    Publié: 24/08/2020
  3. Fraud Detection in Real Time

    Publié: 18/08/2020
  4. Listener Survey Review

    Publié: 11/08/2020
  5. Human Computer Interaction and Online Privacy

    Publié: 27/07/2020
  6. Authorship Attribution of Lennon McCartney Songs

    Publié: 20/07/2020
  7. GANs Can Be Interpretable

    Publié: 11/07/2020
  8. Sentiment Preserving Fake Reviews

    Publié: 06/07/2020
  9. Interpretability Practitioners

    Publié: 26/06/2020
  10. Facial Recognition Auditing

    Publié: 19/06/2020
  11. Robust Fit to Nature

    Publié: 12/06/2020
  12. Black Boxes Are Not Required

    Publié: 05/06/2020
  13. Robustness to Unforeseen Adversarial Attacks

    Publié: 30/05/2020
  14. Estimating the Size of Language Acquisition

    Publié: 22/05/2020
  15. Interpretable AI in Healthcare

    Publié: 15/05/2020
  16. Understanding Neural Networks

    Publié: 08/05/2020
  17. Self-Explaining AI

    Publié: 02/05/2020
  18. Plastic Bag Bans

    Publié: 24/04/2020
  19. Self Driving Cars and Pedestrians

    Publié: 18/04/2020
  20. Computer Vision is Not Perfect

    Publié: 10/04/2020

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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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