In episode thirteen of season two, we talk about t-Distributed Stochastic Neighbor Embedding (t-SNE) we take a listener question about statistical physics, plus we talk with Hal Daume of the University of Maryland. (who is a great follow on Twitter.)<p>See <a href="https://omnystudio.com/listener">omnystudio.com/listener</a> for privacy information.</p>

Perturb-and-MAP and Machine Learning in the Flint Water Crisis

Talking Machines is your window into the world of machine learning. Your hosts, Katherine Gorman and Neil Lawrence, bring you clear conversations with experts in the field, insightful discussions of industry news, and useful answers to your questions.  Machine learning is changing the questions we can ask of the world around us, here we explore how to ask the best questions and what  to do with the answers. Hosted on Acast. See acast.com/privacy for more information.