Gradient Dissent: Conversations on AI

117 Episodes

1. Anthony Goldbloom — How to Win Kaggle Competitions

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

   Published: 9/2/2020
3. Jeremy Howard — The Story of fast.ai and Why Python Is Not the Future of ML

   Published: 8/25/2020
4. Anantha Kancherla — Building Level 5 Autonomous Vehicles

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

   Published: 8/5/2020
6. Chip Huyen — ML Research and Production Pipelines

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

   Published: 7/22/2020
8. Josh Tobin — Productionizing ML Models

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

   Published: 7/1/2020
10. Hamel Husain — Building Machine Learning Tools

    Published: 6/24/2020
11. Peter Welinder — Deep Reinforcement Learning and Robotics

    Published: 6/17/2020
12. Vicki Boykis — Machine Learning Across Industries

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

    Published: 5/6/2020
14. Jack Clark — Building Trustworthy AI Systems

    Published: 4/22/2020
15. Rachael Tatman — Conversational AI and Linguistics

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

    Published: 3/21/2020
17. Brandon Rohrer — Machine Learning in Production for Robots

    Published: 3/11/2020