Skip to content
TrackPodcasts
technologyFeb 11, 202142:26pending

Tools for building robust, state-of-the-art machine learning models

About this episode

In this episode of the Data Exchange I speak with Michael Mahoney, a researcher at UC Berkeley’s RISELab, ICSI, and Department of Statistics. Mike and his collaborators  were recently awarded one of the best papers awards at NeurIPS 2020, one of leading research conferences in machine learning.

Subscribe: Apple, Android, Spotify, Stitcher, Google, and RSS.

Download the 2021 Trends Report: Data, Machine Learning, AI and learn emerging technologies for data management, data engineering, machine learning, and AI.

Detailed show notes can be found on The Data Exchange web site.

Subscribe to The Gradient Flow Newsletter.

Get every episode summarized

Each time The Data Exchange with Ben Lorica publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.

Email me new episodes

Free for 3 shows. No card needed.

Hosts & guests

No transcript yet

This episode has not been transcribed. Request it and it moves to the front of the queue.

Tools for building robust, state-of-the-art machine learning models

The Data Exchange with Ben Lorica

0:00
42:26

More episodes

More from The Data Exchange with Ben Lorica

View all episodes →