Gradient Dissent – A Machine Learning Podcast

Meet your host – Lukas Biewald, CEO of W&B.
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In 2009, Lukas founded Figure Eight/CrowdFlower. Over the past 10 years Lukas has dedicated his career optimizing ML workflows and teaching ML practitioners, making machine learning more accessible to all.

Brought to you by the folks at Weights & Biases, Gradient Dissent is a weekly machine learning podcast that takes you behind-the-scenes to learn how industry leaders are putting deep learning models in production at Facebook, Google, Lyft, OpenAI, Salesforce, iRobot, Stanford and more..

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Get Gradient Dissent on these platforms:

Gradient Dissent - a Machine Learning Podcast · Gradient Dissent - Machine Learning in the Real World

Episodes

The unreasonable effectiveness of synthetic data with Daeil Kim

Supercharging computer vision model performance by generating years of training data in minutes

October 15, 2020

There isn’t one definition of fairness with Joaquin Candela Tech Lead for Responsible AI at Facebook

Scaling and democratizing AI at Facebook, while understanding fairness and algorithmic bias.

October 8, 2020

Biggest challenge in making ML work in the real world with Richard Socher

Richard Socher, ex-Chief Scientist at Salesforce, joins us to talk about The AI Economist, NLP protein generation and biggest challenge in making ML work in the real world.

September 29, 2020

Taking hard lefts and the medical ML landscape with Zack Chase Lipton

Hear how Zack went from being a musician to professor, where medical applications of Machine Learning are developing, and the challenges of counteracting bias in real world applications.

September 17, 2020

How to win Kaggle competitions with Anthony Goldbloom

and which jobs we should be worried about losing to AI in the next few decades.

September 9, 2020

Cultivating Machine Learning Communities with Suzanah Ilić

The story of Machine Learning Tokyo, a nonprofit organization dedicated to democratizing Machine Learning

September 2, 2020

The story of Fast.ai & why Python is not the future of ML with Jeremy Howard

Jeremy shares his experiences in learning, teaching, developing, and making deep learning more accessible.

August 26, 2020

Building Level 5 Autonomous Vehicles with Lyft's Anantha Kancherla

Anantha and Lukas dive into the challenges of building deep learning models for self driving cars and deploying them into production.

August 12, 2020

DeepChem creator Bharath Ramsundar on using deep learning for molecules and medicine discovery

Lukas and Bharath discuss how ML is being used in the medical and biology research fields

ML Research and Production Pipelines with Chip Huyen

Chip has worked on ML research at Snorkel, NVIDIA, Netflix and Primer. She joins us to shares the biggest challenges of moving machine learning pipelines from research to production.