Data Skeptic

A podcast by Kyle Polich

Categories:

571 Episodes

  1. The Spread of Misinformation Online

    Published: 14/09/2020
  2. Consensus Voting

    Published: 7/09/2020
  3. Voting Mechanisms

    Published: 31/08/2020
  4. False Consensus

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

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

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

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

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

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

    Published: 6/07/2020
  11. Interpretability Practitioners

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

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

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

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

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

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

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

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

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

    Published: 24/04/2020

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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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