Gradient Dissent: Conversations on AI

115 Episodo

1. Jeremy Howard — The Story of fast.ai and Why Python Is Not the Future of ML

   Publicado: 25/8/2020
2. Anantha Kancherla — Building Level 5 Autonomous Vehicles

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

   Publicado: 5/8/2020
4. Chip Huyen — ML Research and Production Pipelines

   Publicado: 29/7/2020
5. Peter Skomoroch — Product Management for AI

   Publicado: 22/7/2020
6. Josh Tobin — Productionizing ML Models

   Publicado: 8/7/2020
7. Miles Brundage — Societal Impacts of Artificial Intelligence

   Publicado: 1/7/2020
8. Hamel Husain — Building Machine Learning Tools

   Publicado: 24/6/2020
9. Peter Welinder — Deep Reinforcement Learning and Robotics

   Publicado: 17/6/2020
10. Vicki Boykis — Machine Learning Across Industries

    Publicado: 4/6/2020
11. Angela & Danielle — Designing ML Models for Millions of Consumer Robots

    Publicado: 6/5/2020
12. Jack Clark — Building Trustworthy AI Systems

    Publicado: 22/4/2020
13. Rachael Tatman — Conversational AI and Linguistics

    Publicado: 7/4/2020
14. Nicolas Koumchatzky — Machine Learning in Production for Self-Driving Cars

    Publicado: 21/3/2020
15. Brandon Rohrer — Machine Learning in Production for Robots

    Publicado: 11/3/2020