Gradient Dissent: Conversations on AI

115 Episodo

1. Dominik Moritz — Building Intuitive Data Visualization Tools

   Publicado: 25/3/2021
2. Cade Metz — The Stories Behind the Rise of AI

   Publicado: 18/3/2021
3. Dave Selinger — AI and the Next Generation of Security Systems

   Publicado: 11/3/2021
4. Tim & Heinrich — Democraticizing Reinforcement Learning Research

   Publicado: 4/3/2021
5. Daphne Koller — Digital Biology and the Next Epoch of Science

   Publicado: 18/2/2021
6. Piero Molino — The Secret Behind Building Successful Open Source Projects

   Publicado: 11/2/2021
7. Rosanne Liu — Conducting Fundamental ML Research as a Nonprofit

   Publicado: 5/2/2021
8. Sean Gourley — NLP, National Defense, and Establishing Ground Truth

   Publicado: 28/1/2021
9. Peter Wang — Anaconda, Python, and Scientific Computing

   Publicado: 22/1/2021
10. Chris Anderson — Robocars, Drones, and WIRED Magazine

    Publicado: 14/1/2021
11. Adrien Treuille — Building Blazingly Fast Tools That People Love

    Publicado: 4/12/2020
12. Peter Norvig – Singularity Is in the Eye of the Beholder

    Publicado: 20/11/2020
13. Robert Nishihara — The State of Distributed Computing in ML

    Publicado: 13/11/2020
14. Ines & Sofie — Building Industrial-Strength NLP Pipelines

    Publicado: 29/10/2020
15. Daeil Kim — The Unreasonable Effectiveness of Synthetic Data

    Publicado: 16/10/2020
16. Joaquin Candela — Definitions of Fairness

    Publicado: 1/10/2020
17. Richard Socher — The Challenges of Making ML Work in the Real World

    Publicado: 29/9/2020
18. Zack Chase Lipton — The Medical Machine Learning Landscape

    Publicado: 17/9/2020
19. Anthony Goldbloom — How to Win Kaggle Competitions

    Publicado: 9/9/2020
20. Suzana Ilić — Cultivating Machine Learning Communities

    Publicado: 2/9/2020