Gradient Dissent: Conversations on AI
En podkast av Lukas Biewald
120 Episoder
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Joaquin Candela — Definitions of Fairness
Publisert: 1.10.2020 -
Richard Socher — The Challenges of Making ML Work in the Real World
Publisert: 29.9.2020 -
Zack Chase Lipton — The Medical Machine Learning Landscape
Publisert: 17.9.2020 -
Anthony Goldbloom — How to Win Kaggle Competitions
Publisert: 9.9.2020 -
Suzana Ilić — Cultivating Machine Learning Communities
Publisert: 2.9.2020 -
Jeremy Howard — The Story of fast.ai and Why Python Is Not the Future of ML
Publisert: 25.8.2020 -
Anantha Kancherla — Building Level 5 Autonomous Vehicles
Publisert: 12.8.2020 -
Bharath Ramsundar — Deep Learning for Molecules and Medicine Discovery
Publisert: 5.8.2020 -
Chip Huyen — ML Research and Production Pipelines
Publisert: 29.7.2020 -
Peter Skomoroch — Product Management for AI
Publisert: 22.7.2020 -
Josh Tobin — Productionizing ML Models
Publisert: 8.7.2020 -
Miles Brundage — Societal Impacts of Artificial Intelligence
Publisert: 1.7.2020 -
Hamel Husain — Building Machine Learning Tools
Publisert: 24.6.2020 -
Peter Welinder — Deep Reinforcement Learning and Robotics
Publisert: 17.6.2020 -
Vicki Boykis — Machine Learning Across Industries
Publisert: 4.6.2020 -
Angela & Danielle — Designing ML Models for Millions of Consumer Robots
Publisert: 6.5.2020 -
Jack Clark — Building Trustworthy AI Systems
Publisert: 22.4.2020 -
Rachael Tatman — Conversational AI and Linguistics
Publisert: 7.4.2020 -
Nicolas Koumchatzky — Machine Learning in Production for Self-Driving Cars
Publisert: 21.3.2020 -
Brandon Rohrer — Machine Learning in Production for Robots
Publisert: 11.3.2020
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.