592 Episodo

  1. Plastic Bag Bans

    Publicado: 24/4/2020

  2. Self Driving Cars and Pedestrians

    Publicado: 18/4/2020

  3. Computer Vision is Not Perfect

    Publicado: 10/4/2020

  4. Uncertainty Representations

    Publicado: 4/4/2020

  5. AlphaGo, COVID-19 Contact Tracing and New Data Set

    Publicado: 28/3/2020

  6. Visualizing Uncertainty

    Publicado: 20/3/2020

  7. Interpretability Tooling

    Publicado: 13/3/2020

  8. Shapley Values

    Publicado: 6/3/2020

  9. Anchors as Explanations

    Publicado: 28/2/2020

  10. Mathematical Models of Ecological Systems

    Publicado: 22/2/2020

  11. Adversarial Explanations

    Publicado: 14/2/2020

  12. ObjectNet

    Publicado: 7/2/2020

  13. Visualization and Interpretability

    Publicado: 31/1/2020

  14. Interpretable One Shot Learning

    Publicado: 26/1/2020

  15. Fooling Computer Vision

    Publicado: 22/1/2020

  16. Algorithmic Fairness

    Publicado: 14/1/2020

  17. Interpretability

    Publicado: 7/1/2020

  18. NLP in 2019

    Publicado: 31/12/2019

  19. The Limits of NLP

    Publicado: 24/12/2019

  20. Jumpstart Your ML Project

    Publicado: 15/12/2019

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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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