Talking Machines

A podcast by Tote Bag Productions

Categorie:

110 Episodio

  1. The Long View and Learning in Person

    Pubblicato: 21/09/2017
  2. Machine Learning in the Field and Bayesian Baked Goods

    Pubblicato: 08/09/2017
  3. Data Science Africa with Dina Machuve

    Pubblicato: 10/08/2017
  4. The Church of Bayes and Collecting Data

    Pubblicato: 28/07/2017
  5. Getting a Start in ML and Applied AI at Facebook

    Pubblicato: 13/07/2017
  6. Bias Variance Dilemma for Humans and the Arm Farm

    Pubblicato: 29/06/2017
  7. Overfitting and Asking Ecological Questions with ML

    Pubblicato: 15/06/2017
  8. Graphons and "Inferencing"

    Pubblicato: 25/05/2017
  9. Hosts of Talking Machines: Neil Lawrence and Ryan Adams

    Pubblicato: 27/04/2017
  10. ANGLICAN and Probabilistic Programming

    Pubblicato: 01/09/2016
  11. Eric Lander and Restricted Boltzmann Machines

    Pubblicato: 18/08/2016
  12. Generative Art and Hamiltonian Monte Carlo

    Pubblicato: 04/08/2016
  13. Perturb-and-MAP and Machine Learning in the Flint Water Crisis

    Pubblicato: 21/07/2016
  14. Automatic Translation and t-SNE

    Pubblicato: 07/07/2016
  15. Fantasizing Cats and Data Numbers

    Pubblicato: 16/06/2016
  16. Spark and ICML

    Pubblicato: 02/06/2016
  17. Computational Learning Theory and Machine Learning for Understanding Cells

    Pubblicato: 19/05/2016
  18. Sparse Coding and MADBITS

    Pubblicato: 05/05/2016
  19. Remembering David MacKay

    Pubblicato: 21/04/2016
  20. Machine Learning and Society

    Pubblicato: 08/04/2016

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Talking Machines is your window into the world of machine learning. Your hosts, Katherine Gorman and Neil Lawrence, bring you clear conversations with experts in the field, insightful discussions of industry news, and useful answers to your questions. Machine learning is changing the questions we can ask of the world around us, here we explore how to ask the best questions and what to do with the answers. Hosted on Acast. See acast.com/privacy for more information.

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