Talking Machines

110 Episoder

1. The Long View and Learning in Person

   Publisert: 21.9.2017
2. Machine Learning in the Field and Bayesian Baked Goods

   Publisert: 8.9.2017
3. Data Science Africa with Dina Machuve

   Publisert: 10.8.2017
4. The Church of Bayes and Collecting Data

   Publisert: 28.7.2017
5. Getting a Start in ML and Applied AI at Facebook

   Publisert: 13.7.2017
6. Bias Variance Dilemma for Humans and the Arm Farm

   Publisert: 29.6.2017
7. Overfitting and Asking Ecological Questions with ML

   Publisert: 15.6.2017
8. Graphons and "Inferencing"

   Publisert: 25.5.2017
9. Hosts of Talking Machines: Neil Lawrence and Ryan Adams

   Publisert: 27.4.2017
10. ANGLICAN and Probabilistic Programming

    Publisert: 1.9.2016
11. Eric Lander and Restricted Boltzmann Machines

    Publisert: 18.8.2016
12. Generative Art and Hamiltonian Monte Carlo

    Publisert: 4.8.2016
13. Perturb-and-MAP and Machine Learning in the Flint Water Crisis

    Publisert: 21.7.2016
14. Automatic Translation and t-SNE

    Publisert: 7.7.2016
15. Fantasizing Cats and Data Numbers

    Publisert: 16.6.2016
16. Spark and ICML

    Publisert: 2.6.2016
17. Computational Learning Theory and Machine Learning for Understanding Cells

    Publisert: 19.5.2016
18. Sparse Coding and MADBITS

    Publisert: 5.5.2016
19. Remembering David MacKay

    Publisert: 21.4.2016
20. Machine Learning and Society

    Publisert: 8.4.2016