Gradient Dissent: Conversations on AI

114 Odcinki

1. Cade Metz — The Stories Behind the Rise of AI

   Opublikowany: 18.03.2021
2. Dave Selinger — AI and the Next Generation of Security Systems

   Opublikowany: 11.03.2021
3. Tim & Heinrich — Democraticizing Reinforcement Learning Research

   Opublikowany: 4.03.2021
4. Daphne Koller — Digital Biology and the Next Epoch of Science

   Opublikowany: 18.02.2021
5. Piero Molino — The Secret Behind Building Successful Open Source Projects

   Opublikowany: 11.02.2021
6. Rosanne Liu — Conducting Fundamental ML Research as a Nonprofit

   Opublikowany: 5.02.2021
7. Sean Gourley — NLP, National Defense, and Establishing Ground Truth

   Opublikowany: 28.01.2021
8. Peter Wang — Anaconda, Python, and Scientific Computing

   Opublikowany: 21.01.2021
9. Chris Anderson — Robocars, Drones, and WIRED Magazine

   Opublikowany: 14.01.2021
10. Adrien Treuille — Building Blazingly Fast Tools That People Love

    Opublikowany: 4.12.2020
11. Peter Norvig – Singularity Is in the Eye of the Beholder

    Opublikowany: 20.11.2020
12. Robert Nishihara — The State of Distributed Computing in ML

    Opublikowany: 13.11.2020
13. Ines & Sofie — Building Industrial-Strength NLP Pipelines

    Opublikowany: 29.10.2020
14. Daeil Kim — The Unreasonable Effectiveness of Synthetic Data

    Opublikowany: 15.10.2020
15. Joaquin Candela — Definitions of Fairness

    Opublikowany: 1.10.2020
16. Richard Socher — The Challenges of Making ML Work in the Real World

    Opublikowany: 29.09.2020
17. Zack Chase Lipton — The Medical Machine Learning Landscape

    Opublikowany: 17.09.2020
18. Anthony Goldbloom — How to Win Kaggle Competitions

    Opublikowany: 9.09.2020
19. Suzana Ilić — Cultivating Machine Learning Communities

    Opublikowany: 2.09.2020
20. Jeremy Howard — The Story of fast.ai and Why Python Is Not the Future of ML

    Opublikowany: 25.08.2020