Gradient Dissent: Conversations on AI

120 Folgen

1. Joaquin Candela — Definitions of Fairness

   Vom: 1.10.2020
2. Richard Socher — The Challenges of Making ML Work in the Real World

   Vom: 29.9.2020
3. Zack Chase Lipton — The Medical Machine Learning Landscape

   Vom: 17.9.2020
4. Anthony Goldbloom — How to Win Kaggle Competitions

   Vom: 9.9.2020
5. Suzana Ilić — Cultivating Machine Learning Communities

   Vom: 2.9.2020
6. Jeremy Howard — The Story of fast.ai and Why Python Is Not the Future of ML

   Vom: 25.8.2020
7. Anantha Kancherla — Building Level 5 Autonomous Vehicles

   Vom: 12.8.2020
8. Bharath Ramsundar — Deep Learning for Molecules and Medicine Discovery

   Vom: 5.8.2020
9. Chip Huyen — ML Research and Production Pipelines

   Vom: 29.7.2020
10. Peter Skomoroch — Product Management for AI

    Vom: 22.7.2020
11. Josh Tobin — Productionizing ML Models

    Vom: 8.7.2020
12. Miles Brundage — Societal Impacts of Artificial Intelligence

    Vom: 1.7.2020
13. Hamel Husain — Building Machine Learning Tools

    Vom: 24.6.2020
14. Peter Welinder — Deep Reinforcement Learning and Robotics

    Vom: 17.6.2020
15. Vicki Boykis — Machine Learning Across Industries

    Vom: 4.6.2020
16. Angela & Danielle — Designing ML Models for Millions of Consumer Robots

    Vom: 6.5.2020
17. Jack Clark — Building Trustworthy AI Systems

    Vom: 22.4.2020
18. Rachael Tatman — Conversational AI and Linguistics

    Vom: 7.4.2020
19. Nicolas Koumchatzky — Machine Learning in Production for Self-Driving Cars

    Vom: 21.3.2020
20. Brandon Rohrer — Machine Learning in Production for Robots

    Vom: 11.3.2020