Hitchhikers guide to machine learning

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• Christopher M. Bishop (Microsoft Research, Cambridge)
• Wednesday 01 July 2009, 11:00-12:00
• Large public lecture room, Microsoft Research, Roger Needham Building, 7 J J Thomson Avenue, Cambridge CB3 0FB.

If you have a question about this talk, please contact Dr Fabien Petitcolas.

Abstract: Some of the most promising research opportunities lie at the intersections of different fields. As a small step in this direction, Chris will give a short introductory tutorial to the field of machine learning. The focus will be on the underlying concepts, illustrated with simple examples, and the mathematical content will be kept to a minimum. This talk will assume no previous knowledge of machine learning.

Biography: Chris Bishop is Chief Research Scientist at Microsoft Research Cambridge, and Professor of Computer Science at the University of Edinburgh. He is also a Fellow of Darwin College Cambridge, a Fellow of the Royal Academy of Engineering and a Fellow of the Royal Society of Edinburgh. His research interests include probabilistic approaches to machine learning, as well as their application to fields such as computer vision and biomedical science. In 2008 he presented the prestigious Royal Institution Christmas Lectures, broadcast at prime time on UK national television.

This talk is part of the Microsoft Research Summer School series.

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