110 Episodes

  1. AI for Good and The Real World

    Published: 18/10/2018

  2. Systems Design and Tools for Transparency

    Published: 05/10/2018

  3. How to Research in Hype and CIFAR's Strategy

    Published: 20/09/2018

  4. Troubling Trends and Climbing Mountains

    Published: 07/09/2018

  5. Gaussian Processes, Grad School, and Richard Zemel

    Published: 23/08/2018

  6. Long Term Fairness

    Published: 09/08/2018

  7. Simulated Learning and Real World Ethics

    Published: 27/07/2018

  8. ICML 2018 with Jennifer Dy

    Published: 12/07/2018

  9. Aspirational Asimov and How to Survive a Conference

    Published: 28/06/2018

  10. Explanations and Reviews

    Published: 14/06/2018

  11. Statements on Statements

    Published: 31/05/2018

  12. The Futility of Artificial Carpenters and Further Reading

    Published: 17/05/2018

  13. Economies, Work and AI

    Published: 03/05/2018

  14. Explainability and the Inexplicable

    Published: 19/04/2018

  15. Good Data Practice Rules

    Published: 05/04/2018

  16. Can an AI Practitioner Fix a Radio?

    Published: 22/03/2018

  17. Natural vs Artificial Intelligence and Doing Unexpected Work

    Published: 08/03/2018

  18. Scientific Rigor and Turning Information into Action

    Published: 22/02/2018

  19. Code Review for Community Change

    Published: 08/02/2018

  20. The Pace of Change and The Public View of ML

    Published: 05/10/2017

3 / 6

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