Gradient Dissent: Conversations on AI
Podcast autorstwa Lukas Biewald
120 Odcinki
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Joaquin Candela — Definitions of Fairness
Opublikowany: 1.10.2020 -
Richard Socher — The Challenges of Making ML Work in the Real World
Opublikowany: 29.09.2020 -
Zack Chase Lipton — The Medical Machine Learning Landscape
Opublikowany: 17.09.2020 -
Anthony Goldbloom — How to Win Kaggle Competitions
Opublikowany: 9.09.2020 -
Suzana Ilić — Cultivating Machine Learning Communities
Opublikowany: 2.09.2020 -
Jeremy Howard — The Story of fast.ai and Why Python Is Not the Future of ML
Opublikowany: 25.08.2020 -
Anantha Kancherla — Building Level 5 Autonomous Vehicles
Opublikowany: 12.08.2020 -
Bharath Ramsundar — Deep Learning for Molecules and Medicine Discovery
Opublikowany: 5.08.2020 -
Chip Huyen — ML Research and Production Pipelines
Opublikowany: 29.07.2020 -
Peter Skomoroch — Product Management for AI
Opublikowany: 22.07.2020 -
Josh Tobin — Productionizing ML Models
Opublikowany: 8.07.2020 -
Miles Brundage — Societal Impacts of Artificial Intelligence
Opublikowany: 1.07.2020 -
Hamel Husain — Building Machine Learning Tools
Opublikowany: 24.06.2020 -
Peter Welinder — Deep Reinforcement Learning and Robotics
Opublikowany: 17.06.2020 -
Vicki Boykis — Machine Learning Across Industries
Opublikowany: 4.06.2020 -
Angela & Danielle — Designing ML Models for Millions of Consumer Robots
Opublikowany: 6.05.2020 -
Jack Clark — Building Trustworthy AI Systems
Opublikowany: 22.04.2020 -
Rachael Tatman — Conversational AI and Linguistics
Opublikowany: 7.04.2020 -
Nicolas Koumchatzky — Machine Learning in Production for Self-Driving Cars
Opublikowany: 21.03.2020 -
Brandon Rohrer — Machine Learning in Production for Robots
Opublikowany: 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.
