110 Épisodes

  1. AI for Good and The Real World

    Publié: 18/10/2018
  2. Systems Design and Tools for Transparency

    Publié: 05/10/2018
  3. How to Research in Hype and CIFAR's Strategy

    Publié: 20/09/2018
  4. Troubling Trends and Climbing Mountains

    Publié: 07/09/2018
  5. Gaussian Processes, Grad School, and Richard Zemel

    Publié: 23/08/2018
  6. Long Term Fairness

    Publié: 09/08/2018
  7. Simulated Learning and Real World Ethics

    Publié: 27/07/2018
  8. ICML 2018 with Jennifer Dy

    Publié: 12/07/2018
  9. Aspirational Asimov and How to Survive a Conference

    Publié: 28/06/2018
  10. Explanations and Reviews

    Publié: 14/06/2018
  11. Statements on Statements

    Publié: 31/05/2018
  12. The Futility of Artificial Carpenters and Further Reading

    Publié: 17/05/2018
  13. Economies, Work and AI

    Publié: 03/05/2018
  14. Explainability and the Inexplicable

    Publié: 19/04/2018
  15. Good Data Practice Rules

    Publié: 05/04/2018
  16. Can an AI Practitioner Fix a Radio?

    Publié: 22/03/2018
  17. Natural vs Artificial Intelligence and Doing Unexpected Work

    Publié: 08/03/2018
  18. Scientific Rigor and Turning Information into Action

    Publié: 22/02/2018
  19. Code Review for Community Change

    Publié: 08/02/2018
  20. The Pace of Change and The Public View of ML

    Publié: 05/10/2017

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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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