Talking Machines: Real human actions and Women in Machine Learning (WiML), with Jenn Wortman Vaughan
In episode four we talk with Hanna Wallach, of Microsoft Research. She’s also a professor in the Department of Computer Science, University of Massachusetts Amherst and one of the founders of Women in Machine Learning (better known as WiML). We take a listener question about scalability and the size of data sets. And Ryan takes us through topic modeling using Latent Dirichlet allocation (say that five times fast).
Robohub is excited to bring you our newest series – the Talking Machines podcast. Hosted by Katherine Gorman and Ryan Adams, Talking Machines is your window into the world of machine learning. You can catch new episodes every two weeks on Thursdays.
In the first episode of Talking Machines we meet our hosts, Katherine Gorman (nerd, journalist) and Ryan Adams (nerd, Harvard computer science professor), and explore some of the interviews you’ll be able to hear this season. Today we hear some short clips on big issues, we’ll get technical, but today is all about introductions.
February 24, 2021
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