Data Skeptic

En podkast av Kyle Polich

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549 Episoder

  1. Voting Mechanisms

    Publisert: 31.8.2020
  2. False Consensus

    Publisert: 24.8.2020
  3. Fraud Detection in Real Time

    Publisert: 18.8.2020
  4. Listener Survey Review

    Publisert: 11.8.2020
  5. Human Computer Interaction and Online Privacy

    Publisert: 27.7.2020
  6. Authorship Attribution of Lennon McCartney Songs

    Publisert: 20.7.2020
  7. GANs Can Be Interpretable

    Publisert: 11.7.2020
  8. Sentiment Preserving Fake Reviews

    Publisert: 6.7.2020
  9. Interpretability Practitioners

    Publisert: 26.6.2020
  10. Facial Recognition Auditing

    Publisert: 19.6.2020
  11. Robust Fit to Nature

    Publisert: 12.6.2020
  12. Black Boxes Are Not Required

    Publisert: 5.6.2020
  13. Robustness to Unforeseen Adversarial Attacks

    Publisert: 30.5.2020
  14. Estimating the Size of Language Acquisition

    Publisert: 22.5.2020
  15. Interpretable AI in Healthcare

    Publisert: 15.5.2020
  16. Understanding Neural Networks

    Publisert: 8.5.2020
  17. Self-Explaining AI

    Publisert: 2.5.2020
  18. Plastic Bag Bans

    Publisert: 24.4.2020
  19. Self Driving Cars and Pedestrians

    Publisert: 18.4.2020
  20. Computer Vision is Not Perfect

    Publisert: 10.4.2020

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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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