Gradient Dissent: Conversations on AI
A podcast by Lukas Biewald
120 Episoade
-
Joaquin Candela — Definitions of Fairness
Publicat: 01.10.2020 -
Richard Socher — The Challenges of Making ML Work in the Real World
Publicat: 29.09.2020 -
Zack Chase Lipton — The Medical Machine Learning Landscape
Publicat: 17.09.2020 -
Anthony Goldbloom — How to Win Kaggle Competitions
Publicat: 09.09.2020 -
Suzana Ilić — Cultivating Machine Learning Communities
Publicat: 02.09.2020 -
Jeremy Howard — The Story of fast.ai and Why Python Is Not the Future of ML
Publicat: 25.08.2020 -
Anantha Kancherla — Building Level 5 Autonomous Vehicles
Publicat: 12.08.2020 -
Bharath Ramsundar — Deep Learning for Molecules and Medicine Discovery
Publicat: 05.08.2020 -
Chip Huyen — ML Research and Production Pipelines
Publicat: 29.07.2020 -
Peter Skomoroch — Product Management for AI
Publicat: 22.07.2020 -
Josh Tobin — Productionizing ML Models
Publicat: 08.07.2020 -
Miles Brundage — Societal Impacts of Artificial Intelligence
Publicat: 01.07.2020 -
Hamel Husain — Building Machine Learning Tools
Publicat: 24.06.2020 -
Peter Welinder — Deep Reinforcement Learning and Robotics
Publicat: 17.06.2020 -
Vicki Boykis — Machine Learning Across Industries
Publicat: 04.06.2020 -
Angela & Danielle — Designing ML Models for Millions of Consumer Robots
Publicat: 06.05.2020 -
Jack Clark — Building Trustworthy AI Systems
Publicat: 22.04.2020 -
Rachael Tatman — Conversational AI and Linguistics
Publicat: 07.04.2020 -
Nicolas Koumchatzky — Machine Learning in Production for Self-Driving Cars
Publicat: 21.03.2020 -
Brandon Rohrer — Machine Learning in Production for Robots
Publicat: 11.03.2020
Join Lukas Biewald on Gradient Dissent, an AI-focused podcast brought to you by Weights & Biases. Dive into fascinating conversations with industry giants from NVIDIA, Meta, Google, Lyft, OpenAI, and more. Explore the cutting-edge of AI and learn the intricacies of bringing models into production.
