110 Episodes

  1. The Long View and Learning in Person

    Published: 21/09/2017

  2. Machine Learning in the Field and Bayesian Baked Goods

    Published: 08/09/2017

  3. Data Science Africa with Dina Machuve

    Published: 10/08/2017

  4. The Church of Bayes and Collecting Data

    Published: 28/07/2017

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

    Published: 13/07/2017

  6. Bias Variance Dilemma for Humans and the Arm Farm

    Published: 29/06/2017

  7. Overfitting and Asking Ecological Questions with ML

    Published: 15/06/2017

  8. Graphons and "Inferencing"

    Published: 25/05/2017

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

    Published: 27/04/2017

  10. ANGLICAN and Probabilistic Programming

    Published: 01/09/2016

  11. Eric Lander and Restricted Boltzmann Machines

    Published: 18/08/2016

  12. Generative Art and Hamiltonian Monte Carlo

    Published: 04/08/2016

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

    Published: 21/07/2016

  14. Automatic Translation and t-SNE

    Published: 07/07/2016

  15. Fantasizing Cats and Data Numbers

    Published: 16/06/2016

  16. Spark and ICML

    Published: 02/06/2016

  17. Computational Learning Theory and Machine Learning for Understanding Cells

    Published: 19/05/2016

  18. Sparse Coding and MADBITS

    Published: 05/05/2016

  19. Remembering David MacKay

    Published: 21/04/2016

  20. Machine Learning and Society

    Published: 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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