Data Skeptic

A podcast by Kyle Polich

Categories:

554 Episoade

  1. Defending the p-value

    Publicat: 12.10.2020
  2. Retraction Watch

    Publicat: 05.10.2020
  3. Crowdsourced Expertise

    Publicat: 21.09.2020
  4. The Spread of Misinformation Online

    Publicat: 14.09.2020
  5. Consensus Voting

    Publicat: 07.09.2020
  6. Voting Mechanisms

    Publicat: 31.08.2020
  7. False Consensus

    Publicat: 24.08.2020
  8. Fraud Detection in Real Time

    Publicat: 18.08.2020
  9. Listener Survey Review

    Publicat: 11.08.2020
  10. Human Computer Interaction and Online Privacy

    Publicat: 27.07.2020
  11. Authorship Attribution of Lennon McCartney Songs

    Publicat: 20.07.2020
  12. GANs Can Be Interpretable

    Publicat: 11.07.2020
  13. Sentiment Preserving Fake Reviews

    Publicat: 06.07.2020
  14. Interpretability Practitioners

    Publicat: 26.06.2020
  15. Facial Recognition Auditing

    Publicat: 19.06.2020
  16. Robust Fit to Nature

    Publicat: 12.06.2020
  17. Black Boxes Are Not Required

    Publicat: 05.06.2020
  18. Robustness to Unforeseen Adversarial Attacks

    Publicat: 30.05.2020
  19. Estimating the Size of Language Acquisition

    Publicat: 22.05.2020
  20. Interpretable AI in Healthcare

    Publicat: 15.05.2020

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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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