Data Skeptic

En podkast av Kyle Polich

Kategorier:

549 Episoder

  1. Uncertainty Representations

    Publisert: 4.4.2020
  2. AlphaGo, COVID-19 Contact Tracing and New Data Set

    Publisert: 28.3.2020
  3. Visualizing Uncertainty

    Publisert: 20.3.2020
  4. Interpretability Tooling

    Publisert: 13.3.2020
  5. Shapley Values

    Publisert: 6.3.2020
  6. Anchors as Explanations

    Publisert: 28.2.2020
  7. Mathematical Models of Ecological Systems

    Publisert: 22.2.2020
  8. Adversarial Explanations

    Publisert: 14.2.2020
  9. ObjectNet

    Publisert: 7.2.2020
  10. Visualization and Interpretability

    Publisert: 31.1.2020
  11. Interpretable One Shot Learning

    Publisert: 26.1.2020
  12. Fooling Computer Vision

    Publisert: 22.1.2020
  13. Algorithmic Fairness

    Publisert: 14.1.2020
  14. Interpretability

    Publisert: 7.1.2020
  15. NLP in 2019

    Publisert: 31.12.2019
  16. The Limits of NLP

    Publisert: 24.12.2019
  17. Jumpstart Your ML Project

    Publisert: 15.12.2019
  18. Serverless NLP Model Training

    Publisert: 10.12.2019
  19. Team Data Science Process

    Publisert: 3.12.2019
  20. Ancient Text Restoration

    Publisert: 1.12.2019

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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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