The Fundamentals of Machine Learning
In this Machine Learning virtual conference session, Sanjoy Dasgupta gives an introduction to machine learning. He goes through a detailed prediction problem and surveys the landscape of the field.
Speaker
Sanjoy Dasgupta, PhD
Sanjoy Dasgupta is a professor of computer science and engineering at the University of California, San Diego, where he has been since 2002. Previously, he worked in the machine learning group at AT&T Labs Research. He obtained a BA from Harvard University in 1993 and a PhD from the University of California, Berkeley. Dasgupta works on algorithmic statistics, with a particular focus on unsupervised and minimally supervised learning. He is author (with Christos Papadimitriou and Umesh Vazirani) of a textbook, Algorithms. He was program co-chair of the Conference on Learning Theory in 2009 and of the International Conference on Machine Learning in 2013.
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