Data Skeptic

Un pódcast de Kyle Polich

Categorías:

553 Episodo

  1. Retraction Watch

    Publicado: 5/10/2020
  2. Crowdsourced Expertise

    Publicado: 21/9/2020
  3. The Spread of Misinformation Online

    Publicado: 14/9/2020
  4. Consensus Voting

    Publicado: 7/9/2020
  5. Voting Mechanisms

    Publicado: 31/8/2020
  6. False Consensus

    Publicado: 24/8/2020
  7. Fraud Detection in Real Time

    Publicado: 18/8/2020
  8. Listener Survey Review

    Publicado: 11/8/2020
  9. Human Computer Interaction and Online Privacy

    Publicado: 27/7/2020
  10. Authorship Attribution of Lennon McCartney Songs

    Publicado: 20/7/2020
  11. GANs Can Be Interpretable

    Publicado: 11/7/2020
  12. Sentiment Preserving Fake Reviews

    Publicado: 6/7/2020
  13. Interpretability Practitioners

    Publicado: 26/6/2020
  14. Facial Recognition Auditing

    Publicado: 19/6/2020
  15. Robust Fit to Nature

    Publicado: 12/6/2020
  16. Black Boxes Are Not Required

    Publicado: 5/6/2020
  17. Robustness to Unforeseen Adversarial Attacks

    Publicado: 30/5/2020
  18. Estimating the Size of Language Acquisition

    Publicado: 22/5/2020
  19. Interpretable AI in Healthcare

    Publicado: 15/5/2020
  20. Understanding Neural Networks

    Publicado: 8/5/2020

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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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