Gradient Dissent: Conversations on AI

120 Episodo

1. Joaquin Candela — Definitions of Fairness

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    Publicado: 11/3/2020