Talking Machines

Een podcast door Tote Bag Productions

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110 Afleveringen

  1. The Long View and Learning in Person

    Gepubliceerd: 21-9-2017
  2. Machine Learning in the Field and Bayesian Baked Goods

    Gepubliceerd: 8-9-2017
  3. Data Science Africa with Dina Machuve

    Gepubliceerd: 10-8-2017
  4. The Church of Bayes and Collecting Data

    Gepubliceerd: 28-7-2017
  5. Getting a Start in ML and Applied AI at Facebook

    Gepubliceerd: 13-7-2017
  6. Bias Variance Dilemma for Humans and the Arm Farm

    Gepubliceerd: 29-6-2017
  7. Overfitting and Asking Ecological Questions with ML

    Gepubliceerd: 15-6-2017
  8. Graphons and "Inferencing"

    Gepubliceerd: 25-5-2017
  9. Hosts of Talking Machines: Neil Lawrence and Ryan Adams

    Gepubliceerd: 27-4-2017
  10. ANGLICAN and Probabilistic Programming

    Gepubliceerd: 1-9-2016
  11. Eric Lander and Restricted Boltzmann Machines

    Gepubliceerd: 18-8-2016
  12. Generative Art and Hamiltonian Monte Carlo

    Gepubliceerd: 4-8-2016
  13. Perturb-and-MAP and Machine Learning in the Flint Water Crisis

    Gepubliceerd: 21-7-2016
  14. Automatic Translation and t-SNE

    Gepubliceerd: 7-7-2016
  15. Fantasizing Cats and Data Numbers

    Gepubliceerd: 16-6-2016
  16. Spark and ICML

    Gepubliceerd: 2-6-2016
  17. Computational Learning Theory and Machine Learning for Understanding Cells

    Gepubliceerd: 19-5-2016
  18. Sparse Coding and MADBITS

    Gepubliceerd: 5-5-2016
  19. Remembering David MacKay

    Gepubliceerd: 21-4-2016
  20. Machine Learning and Society

    Gepubliceerd: 8-4-2016

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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.

Visit the podcast's native language site