Gradient Dissent: Conversations on AI

120 Avsnitt

1. Joaquin Candela — Definitions of Fairness

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

   Publicerades: 2020-09-29
3. Zack Chase Lipton — The Medical Machine Learning Landscape

   Publicerades: 2020-09-17
4. Anthony Goldbloom — How to Win Kaggle Competitions

   Publicerades: 2020-09-09
5. Suzana Ilić — Cultivating Machine Learning Communities

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

   Publicerades: 2020-08-25
7. Anantha Kancherla — Building Level 5 Autonomous Vehicles

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

   Publicerades: 2020-08-05
9. Chip Huyen — ML Research and Production Pipelines

   Publicerades: 2020-07-29
10. Peter Skomoroch — Product Management for AI

    Publicerades: 2020-07-22
11. Josh Tobin — Productionizing ML Models

    Publicerades: 2020-07-08
12. Miles Brundage — Societal Impacts of Artificial Intelligence

    Publicerades: 2020-07-01
13. Hamel Husain — Building Machine Learning Tools

    Publicerades: 2020-06-24
14. Peter Welinder — Deep Reinforcement Learning and Robotics

    Publicerades: 2020-06-17
15. Vicki Boykis — Machine Learning Across Industries

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

    Publicerades: 2020-05-06
17. Jack Clark — Building Trustworthy AI Systems

    Publicerades: 2020-04-22
18. Rachael Tatman — Conversational AI and Linguistics

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

    Publicerades: 2020-03-21
20. Brandon Rohrer — Machine Learning in Production for Robots

    Publicerades: 2020-03-11