Gradient Dissent: Conversations on AI

120 Épisodes

1. Joaquin Candela — Definitions of Fairness

   Publié: 01/10/2020
2. Richard Socher — The Challenges of Making ML Work in the Real World

   Publié: 29/09/2020
3. Zack Chase Lipton — The Medical Machine Learning Landscape

   Publié: 17/09/2020
4. Anthony Goldbloom — How to Win Kaggle Competitions

   Publié: 09/09/2020
5. Suzana Ilić — Cultivating Machine Learning Communities

   Publié: 02/09/2020
6. Jeremy Howard — The Story of fast.ai and Why Python Is Not the Future of ML

   Publié: 25/08/2020
7. Anantha Kancherla — Building Level 5 Autonomous Vehicles

   Publié: 12/08/2020
8. Bharath Ramsundar — Deep Learning for Molecules and Medicine Discovery

   Publié: 05/08/2020
9. Chip Huyen — ML Research and Production Pipelines

   Publié: 29/07/2020
10. Peter Skomoroch — Product Management for AI

    Publié: 22/07/2020
11. Josh Tobin — Productionizing ML Models

    Publié: 08/07/2020
12. Miles Brundage — Societal Impacts of Artificial Intelligence

    Publié: 01/07/2020
13. Hamel Husain — Building Machine Learning Tools

    Publié: 24/06/2020
14. Peter Welinder — Deep Reinforcement Learning and Robotics

    Publié: 17/06/2020
15. Vicki Boykis — Machine Learning Across Industries

    Publié: 04/06/2020
16. Angela & Danielle — Designing ML Models for Millions of Consumer Robots

    Publié: 06/05/2020
17. Jack Clark — Building Trustworthy AI Systems

    Publié: 22/04/2020
18. Rachael Tatman — Conversational AI and Linguistics

    Publié: 07/04/2020
19. Nicolas Koumchatzky — Machine Learning in Production for Self-Driving Cars

    Publié: 21/03/2020
20. Brandon Rohrer — Machine Learning in Production for Robots

    Publié: 11/03/2020