Gradient Dissent: Conversations on AI

107 Episoder

1. Peter Wang — Anaconda, Python, and Scientific Computing

   Publisert: 21.1.2021
2. Chris Anderson — Robocars, Drones, and WIRED Magazine

   Publisert: 14.1.2021
3. Adrien Treuille — Building Blazingly Fast Tools That People Love

   Publisert: 4.12.2020
4. Peter Norvig – Singularity Is in the Eye of the Beholder

   Publisert: 20.11.2020
5. Robert Nishihara — The State of Distributed Computing in ML

   Publisert: 13.11.2020
6. Ines & Sofie — Building Industrial-Strength NLP Pipelines

   Publisert: 29.10.2020
7. Daeil Kim — The Unreasonable Effectiveness of Synthetic Data

   Publisert: 15.10.2020
8. Joaquin Candela — Definitions of Fairness

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

   Publisert: 29.9.2020
10. Zack Chase Lipton — The Medical Machine Learning Landscape

    Publisert: 17.9.2020
11. Anthony Goldbloom — How to Win Kaggle Competitions

    Publisert: 9.9.2020
12. Suzana Ilić — Cultivating Machine Learning Communities

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

    Publisert: 25.8.2020
14. Anantha Kancherla — Building Level 5 Autonomous Vehicles

    Publisert: 12.8.2020
15. Bharath Ramsundar — Deep Learning for Molecules and Medicine Discovery

    Publisert: 5.8.2020
16. Chip Huyen — ML Research and Production Pipelines

    Publisert: 29.7.2020
17. Peter Skomoroch — Product Management for AI

    Publisert: 21.7.2020
18. Josh Tobin — Productionizing ML Models

    Publisert: 8.7.2020
19. Miles Brundage — Societal Impacts of Artificial Intelligence

    Publisert: 1.7.2020
20. Hamel Husain — Building Machine Learning Tools

    Publisert: 24.6.2020