Gradient Dissent: Conversations on AI
A podcast by Lukas Biewald
115 Episodio
-
Jeremy Howard — The Story of fast.ai and Why Python Is Not the Future of ML
Pubblicato: 25/08/2020 -
Anantha Kancherla — Building Level 5 Autonomous Vehicles
Pubblicato: 12/08/2020 -
Bharath Ramsundar — Deep Learning for Molecules and Medicine Discovery
Pubblicato: 05/08/2020 -
Chip Huyen — ML Research and Production Pipelines
Pubblicato: 29/07/2020 -
Peter Skomoroch — Product Management for AI
Pubblicato: 22/07/2020 -
Josh Tobin — Productionizing ML Models
Pubblicato: 08/07/2020 -
Miles Brundage — Societal Impacts of Artificial Intelligence
Pubblicato: 01/07/2020 -
Hamel Husain — Building Machine Learning Tools
Pubblicato: 24/06/2020 -
Peter Welinder — Deep Reinforcement Learning and Robotics
Pubblicato: 17/06/2020 -
Vicki Boykis — Machine Learning Across Industries
Pubblicato: 04/06/2020 -
Angela & Danielle — Designing ML Models for Millions of Consumer Robots
Pubblicato: 06/05/2020 -
Jack Clark — Building Trustworthy AI Systems
Pubblicato: 22/04/2020 -
Rachael Tatman — Conversational AI and Linguistics
Pubblicato: 07/04/2020 -
Nicolas Koumchatzky — Machine Learning in Production for Self-Driving Cars
Pubblicato: 21/03/2020 -
Brandon Rohrer — Machine Learning in Production for Robots
Pubblicato: 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.