Gradient Dissent: Conversations on AI
Een podcast door Lukas Biewald
120 Afleveringen
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Joaquin Candela — Definitions of Fairness
Gepubliceerd: 1-10-2020 -
Richard Socher — The Challenges of Making ML Work in the Real World
Gepubliceerd: 29-9-2020 -
Zack Chase Lipton — The Medical Machine Learning Landscape
Gepubliceerd: 17-9-2020 -
Anthony Goldbloom — How to Win Kaggle Competitions
Gepubliceerd: 9-9-2020 -
Suzana Ilić — Cultivating Machine Learning Communities
Gepubliceerd: 2-9-2020 -
Jeremy Howard — The Story of fast.ai and Why Python Is Not the Future of ML
Gepubliceerd: 25-8-2020 -
Anantha Kancherla — Building Level 5 Autonomous Vehicles
Gepubliceerd: 12-8-2020 -
Bharath Ramsundar — Deep Learning for Molecules and Medicine Discovery
Gepubliceerd: 5-8-2020 -
Chip Huyen — ML Research and Production Pipelines
Gepubliceerd: 29-7-2020 -
Peter Skomoroch — Product Management for AI
Gepubliceerd: 22-7-2020 -
Josh Tobin — Productionizing ML Models
Gepubliceerd: 8-7-2020 -
Miles Brundage — Societal Impacts of Artificial Intelligence
Gepubliceerd: 1-7-2020 -
Hamel Husain — Building Machine Learning Tools
Gepubliceerd: 24-6-2020 -
Peter Welinder — Deep Reinforcement Learning and Robotics
Gepubliceerd: 17-6-2020 -
Vicki Boykis — Machine Learning Across Industries
Gepubliceerd: 4-6-2020 -
Angela & Danielle — Designing ML Models for Millions of Consumer Robots
Gepubliceerd: 6-5-2020 -
Jack Clark — Building Trustworthy AI Systems
Gepubliceerd: 22-4-2020 -
Rachael Tatman — Conversational AI and Linguistics
Gepubliceerd: 7-4-2020 -
Nicolas Koumchatzky — Machine Learning in Production for Self-Driving Cars
Gepubliceerd: 21-3-2020 -
Brandon Rohrer — Machine Learning in Production for Robots
Gepubliceerd: 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.