Gradient Dissent: Conversations on AI

Gradient Dissent: Conversations on AI

Por: Lukas Biewald
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.
129 episodios disponibles

Latest episodes of the podcast Gradient Dissent: Conversations on AI

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Rosanne Liu — Conducting Fundamental ML Research as a Nonprofit 05/02/2021
Sean Gourley — NLP, National Defense, and Establishing Ground Truth 28/01/2021
Peter Wang — Anaconda, Python, and Scientific Computing 21/01/2021
Chris Anderson — Robocars, Drones, and WIRED Magazine 14/01/2021
Adrien Treuille — Building Blazingly Fast Tools That People Love 04/12/2020
Peter Norvig – Singularity Is in the Eye of the Beholder 20/11/2020
Robert Nishihara — The State of Distributed Computing in ML 13/11/2020
Ines & Sofie — Building Industrial-Strength NLP Pipelines 29/10/2020
Daeil Kim — The Unreasonable Effectiveness of Synthetic Data 15/10/2020
Joaquin Candela — Definitions of Fairness 01/10/2020
Richard Socher — The Challenges of Making ML Work in the Real World 29/09/2020
Zack Chase Lipton — The Medical Machine Learning Landscape 17/09/2020
Anthony Goldbloom — How to Win Kaggle Competitions 09/09/2020
Suzana Ilić — Cultivating Machine Learning Communities 02/09/2020
Jeremy Howard — The Story of fast.ai and Why Python Is Not the Future of ML 25/08/2020
Anantha Kancherla — Building Level 5 Autonomous Vehicles 11/08/2020
Bharath Ramsundar — Deep Learning for Molecules and Medicine Discovery 05/08/2020
Chip Huyen — ML Research and Production Pipelines 28/07/2020
Peter Skomoroch — Product Management for AI 21/07/2020
Josh Tobin — Productionizing ML Models 07/07/2020
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