Data Skeptic

565 Episodes

1. Shapley Values

   Published: 3/6/2020
2. Anchors as Explanations

   Published: 2/28/2020
3. Mathematical Models of Ecological Systems

   Published: 2/22/2020
4. Adversarial Explanations

   Published: 2/14/2020
5. ObjectNet

   Published: 2/7/2020
6. Visualization and Interpretability

   Published: 1/31/2020
7. Interpretable One Shot Learning

   Published: 1/26/2020
8. Fooling Computer Vision

   Published: 1/22/2020
9. Algorithmic Fairness

   Published: 1/14/2020
10. Interpretability

    Published: 1/7/2020
11. NLP in 2019

    Published: 12/31/2019
12. The Limits of NLP

    Published: 12/24/2019
13. Jumpstart Your ML Project

    Published: 12/15/2019
14. Serverless NLP Model Training

    Published: 12/10/2019
15. Team Data Science Process

    Published: 12/3/2019
16. Ancient Text Restoration

    Published: 12/1/2019
17. ML Ops

    Published: 11/27/2019
18. Annotator Bias

    Published: 11/23/2019
19. NLP for Developers

    Published: 11/20/2019
20. Indigenous American Language Research

    Published: 11/13/2019