Data Skeptic

571 Episodo

1. Self Driving Cars and Pedestrians

   Publicado: 18/4/2020
2. Computer Vision is Not Perfect

   Publicado: 10/4/2020
3. Uncertainty Representations

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

   Publicado: 28/3/2020
5. Visualizing Uncertainty

   Publicado: 20/3/2020
6. Interpretability Tooling

   Publicado: 13/3/2020
7. Shapley Values

   Publicado: 6/3/2020
8. Anchors as Explanations

   Publicado: 28/2/2020
9. Mathematical Models of Ecological Systems

   Publicado: 22/2/2020
10. Adversarial Explanations

    Publicado: 14/2/2020
11. ObjectNet

    Publicado: 7/2/2020
12. Visualization and Interpretability

    Publicado: 31/1/2020
13. Interpretable One Shot Learning

    Publicado: 26/1/2020
14. Fooling Computer Vision

    Publicado: 22/1/2020
15. Algorithmic Fairness

    Publicado: 14/1/2020
16. Interpretability

    Publicado: 7/1/2020
17. NLP in 2019

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

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

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

    Publicado: 10/12/2019