Data Skeptic

A podcast by Kyle Polich

Categories:

549 Episodes

  1. Voting Mechanisms

    Published: 31/08/2020
  2. False Consensus

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

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

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

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

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

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

    Published: 6/07/2020
  9. Interpretability Practitioners

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

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

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

    Published: 5/06/2020
  13. Robustness to Unforeseen Adversarial Attacks

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

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

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

    Published: 8/05/2020
  17. Self-Explaining AI

    Published: 2/05/2020
  18. Plastic Bag Bans

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

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

    Published: 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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