Data Skeptic

571 Episodes

1. Self Driving Cars and Pedestrians

   Published: 18/04/2020
2. Computer Vision is Not Perfect

   Published: 10/04/2020
3. Uncertainty Representations

   Published: 4/04/2020
4. AlphaGo, COVID-19 Contact Tracing and New Data Set

   Published: 28/03/2020
5. Visualizing Uncertainty

   Published: 20/03/2020
6. Interpretability Tooling

   Published: 13/03/2020
7. Shapley Values

   Published: 6/03/2020
8. Anchors as Explanations

   Published: 28/02/2020
9. Mathematical Models of Ecological Systems

   Published: 22/02/2020
10. Adversarial Explanations

    Published: 14/02/2020
11. ObjectNet

    Published: 7/02/2020
12. Visualization and Interpretability

    Published: 31/01/2020
13. Interpretable One Shot Learning

    Published: 26/01/2020
14. Fooling Computer Vision

    Published: 22/01/2020
15. Algorithmic Fairness

    Published: 14/01/2020
16. Interpretability

    Published: 7/01/2020
17. NLP in 2019

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

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

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

    Published: 10/12/2019