Talking Machines

110 Folgen

1. AI for Good and The Real World

   Vom: 18.10.2018
2. Systems Design and Tools for Transparency

   Vom: 5.10.2018
3. How to Research in Hype and CIFAR's Strategy

   Vom: 20.9.2018
4. Troubling Trends and Climbing Mountains

   Vom: 7.9.2018
5. Gaussian Processes, Grad School, and Richard Zemel

   Vom: 23.8.2018
6. Long Term Fairness

   Vom: 9.8.2018
7. Simulated Learning and Real World Ethics

   Vom: 27.7.2018
8. ICML 2018 with Jennifer Dy

   Vom: 12.7.2018
9. Aspirational Asimov and How to Survive a Conference

   Vom: 28.6.2018
10. Explanations and Reviews

    Vom: 14.6.2018
11. Statements on Statements

    Vom: 31.5.2018
12. The Futility of Artificial Carpenters and Further Reading

    Vom: 17.5.2018
13. Economies, Work and AI

    Vom: 3.5.2018
14. Explainability and the Inexplicable

    Vom: 19.4.2018
15. Good Data Practice Rules

    Vom: 5.4.2018
16. Can an AI Practitioner Fix a Radio?

    Vom: 22.3.2018
17. Natural vs Artificial Intelligence and Doing Unexpected Work

    Vom: 8.3.2018
18. Scientific Rigor and Turning Information into Action

    Vom: 22.2.2018
19. Code Review for Community Change

    Vom: 8.2.2018
20. The Pace of Change and The Public View of ML

    Vom: 5.10.2017