Using Models in the Wild and Women in Machine Learning
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).
See omnystudio.com/policies/listener for privacy information.
Continue reading and listening
Stay in the loop
Subscribe to our newsletter for a weekly update on the latest podcast, news, events, and jobs postings.