571 Episoade

  1. Self Driving Cars and Pedestrians

    Publicat: 18.04.2020
  2. Computer Vision is Not Perfect

    Publicat: 10.04.2020
  3. Uncertainty Representations

    Publicat: 04.04.2020
  4. AlphaGo, COVID-19 Contact Tracing and New Data Set

    Publicat: 28.03.2020
  5. Visualizing Uncertainty

    Publicat: 20.03.2020
  6. Interpretability Tooling

    Publicat: 13.03.2020
  7. Shapley Values

    Publicat: 06.03.2020
  8. Anchors as Explanations

    Publicat: 28.02.2020
  9. Mathematical Models of Ecological Systems

    Publicat: 22.02.2020
  10. Adversarial Explanations

    Publicat: 14.02.2020
  11. ObjectNet

    Publicat: 07.02.2020
  12. Visualization and Interpretability

    Publicat: 31.01.2020
  13. Interpretable One Shot Learning

    Publicat: 26.01.2020
  14. Fooling Computer Vision

    Publicat: 22.01.2020
  15. Algorithmic Fairness

    Publicat: 14.01.2020
  16. Interpretability

    Publicat: 07.01.2020
  17. NLP in 2019

    Publicat: 31.12.2019
  18. The Limits of NLP

    Publicat: 24.12.2019
  19. Jumpstart Your ML Project

    Publicat: 15.12.2019
  20. Serverless NLP Model Training

    Publicat: 10.12.2019

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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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