Gradient Dissent: Conversations on AI

117 Episodes

1. Anthony Goldbloom — How to Win Kaggle Competitions

   Published: 9/09/2020
2. Suzana Ilić — Cultivating Machine Learning Communities

   Published: 2/09/2020
3. Jeremy Howard — The Story of fast.ai and Why Python Is Not the Future of ML

   Published: 25/08/2020
4. Anantha Kancherla — Building Level 5 Autonomous Vehicles

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

   Published: 5/08/2020
6. Chip Huyen — ML Research and Production Pipelines

   Published: 29/07/2020
7. Peter Skomoroch — Product Management for AI

   Published: 22/07/2020
8. Josh Tobin — Productionizing ML Models

   Published: 8/07/2020
9. Miles Brundage — Societal Impacts of Artificial Intelligence

   Published: 1/07/2020
10. Hamel Husain — Building Machine Learning Tools

    Published: 24/06/2020
11. Peter Welinder — Deep Reinforcement Learning and Robotics

    Published: 17/06/2020
12. Vicki Boykis — Machine Learning Across Industries

    Published: 4/06/2020
13. Angela & Danielle — Designing ML Models for Millions of Consumer Robots

    Published: 6/05/2020
14. Jack Clark — Building Trustworthy AI Systems

    Published: 22/04/2020
15. Rachael Tatman — Conversational AI and Linguistics

    Published: 7/04/2020
16. Nicolas Koumchatzky — Machine Learning in Production for Self-Driving Cars

    Published: 21/03/2020
17. Brandon Rohrer — Machine Learning in Production for Robots

    Published: 11/03/2020