Data Skeptic

571 Episoder

1. Self Driving Cars and Pedestrians

   Publisert: 18.4.2020
2. Computer Vision is Not Perfect

   Publisert: 10.4.2020
3. Uncertainty Representations

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

   Publisert: 28.3.2020
5. Visualizing Uncertainty

   Publisert: 20.3.2020
6. Interpretability Tooling

   Publisert: 13.3.2020
7. Shapley Values

   Publisert: 6.3.2020
8. Anchors as Explanations

   Publisert: 28.2.2020
9. Mathematical Models of Ecological Systems

   Publisert: 22.2.2020
10. Adversarial Explanations

    Publisert: 14.2.2020
11. ObjectNet

    Publisert: 7.2.2020
12. Visualization and Interpretability

    Publisert: 31.1.2020
13. Interpretable One Shot Learning

    Publisert: 26.1.2020
14. Fooling Computer Vision

    Publisert: 22.1.2020
15. Algorithmic Fairness

    Publisert: 14.1.2020
16. Interpretability

    Publisert: 7.1.2020
17. NLP in 2019

    Publisert: 31.12.2019
18. The Limits of NLP

    Publisert: 24.12.2019
19. Jumpstart Your ML Project

    Publisert: 15.12.2019
20. Serverless NLP Model Training

    Publisert: 10.12.2019