Data Skeptic

571 Épisodes

1. Self Driving Cars and Pedestrians

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

   Publié: 10/04/2020
3. Uncertainty Representations

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

   Publié: 28/03/2020
5. Visualizing Uncertainty

   Publié: 20/03/2020
6. Interpretability Tooling

   Publié: 13/03/2020
7. Shapley Values

   Publié: 06/03/2020
8. Anchors as Explanations

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

   Publié: 22/02/2020
10. Adversarial Explanations

    Publié: 14/02/2020
11. ObjectNet

    Publié: 07/02/2020
12. Visualization and Interpretability

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

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

    Publié: 22/01/2020
15. Algorithmic Fairness

    Publié: 14/01/2020
16. Interpretability

    Publié: 07/01/2020
17. NLP in 2019

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

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

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

    Publié: 10/12/2019