592 Episodes

  1. Plastic Bag Bans

    Published: 4/24/2020

  2. Self Driving Cars and Pedestrians

    Published: 4/18/2020

  3. Computer Vision is Not Perfect

    Published: 4/10/2020

  4. Uncertainty Representations

    Published: 4/4/2020

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

    Published: 3/28/2020

  6. Visualizing Uncertainty

    Published: 3/20/2020

  7. Interpretability Tooling

    Published: 3/13/2020

  8. Shapley Values

    Published: 3/6/2020

  9. Anchors as Explanations

    Published: 2/28/2020

  10. Mathematical Models of Ecological Systems

    Published: 2/22/2020

  11. Adversarial Explanations

    Published: 2/14/2020

  12. ObjectNet

    Published: 2/7/2020

  13. Visualization and Interpretability

    Published: 1/31/2020

  14. Interpretable One Shot Learning

    Published: 1/26/2020

  15. Fooling Computer Vision

    Published: 1/22/2020

  16. Algorithmic Fairness

    Published: 1/14/2020

  17. Interpretability

    Published: 1/7/2020

  18. NLP in 2019

    Published: 12/31/2019

  19. The Limits of NLP

    Published: 12/24/2019

  20. Jumpstart Your ML Project

    Published: 12/15/2019

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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.