Gradient Dissent – A Machine Learning Podcast

Meet your host – Lukas Biewald, CEO of W&B.
‍
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.

Get a behind-the-scenes look at how industry leaders are using deep learning in the real world.

While building experiment tracking tools, we’ve had the opportunity to learn about how different teams are building and deploying models. In this new podcast, we share some of the insights and stories we’ve heard along the way.

Follow Gradient Dissent for weekly machine learning updates, and be part of the conversation.
‍

5 Stars on Apple Podcasts

Get Gradient Dissent on these platforms:

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

Episodes

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.

Product Management for AI with Peter Skomoroch

Machine Learning Executive & Entrepreneur, Peter Skomoroch shares his experience building and running successful data science and machine learning teams

Productionizing machine learning models, one thoughtful change at a time with Josh Tobin

Josh Tobin, former researcher at OpenAI and creator of Full Stack Deep Learning talks about professionalizing ML workflows for the real world, his work with the Robotics team and FSDL.

Societal Impacts of Artificial Intelligence with Miles Brundage

Miles Brundage joins us to talk about his work developing methods for rigorous analysis of AI development scenarios and appropriate policy responses at OpenAI.

Building Machine Learning Tools with Hamel Husain

Hamel Husain, Staff Machine Learning Engineer at Github talks about Github Actions, the CodeSearchNet challenge and the tools they're building to advance progress in AI

Machine learning across industries with Vicki Boykis

As a senior consultant in machine learning, Vicki shares her experiences working with many different companies