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.

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

Episodes

Chris Anderson on Robocars, Drones and WIRED Magazine

Chris shares his journey starting from playing in R.E.M, becoming interested physics to leading WIRED Magazine for 11 years. His robot fascination lead to starting a company that manufactures drones, and creating a community democratizing self-driving cars.

January 14, 2021

Streamlit's CEO Adrien Treuille on building blazingly fast and interactive tools people love

Adrien shares his journey from making games that advance science (Eterna, Foldit) to creating a Streamlit, an open-source app framework enabling ML/Data practitioners to easily build powerful and interactive apps in a few hours

December 4, 2020

Peter Norvig, Google’s Director of Research – singularity is in the eye of the beholder

We're thrilled to have Peter Norvig join us to talk about the evolution of deep learning, his industry-defining book, his work at Google, and what he thinks the future holds for machine learning research.

November 20, 2020

Ray's co-creator Robert Nishihara on the state of distributed computing in Machine Learning

The story of Ray and what lead Robert to go from reinforcement learning researcher to creating open-source tools for machine learning and beyond

November 13, 2020

Building industrial strength NLP pipelines with Ines and Sophie of Explosion.AI

Sophie and Ines walk us through how the new spaCy library helps build end to end SOTA natural language processing workflows.

October 30, 2020

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