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SUMMARY:Hitchhikers guide to machine learning - Christopher M. Bishop (Mic
 rosoft Research\, Cambridge)
DTSTART:20090701T100000Z
DTEND:20090701T110000Z
UID:TALK18595@talks.cam.ac.uk
CONTACT:Dr Fabien Petitcolas
DESCRIPTION:*Abstract*: Some of the most promising research opportunities 
 lie at the intersections of different fields. As a small step in this dire
 ction\, Chris will give a short introductory tutorial to the field of mach
 ine learning. The focus will be on the underlying concepts\, illustrated w
 ith simple examples\, and the mathematical content will be kept to a minim
 um. This talk will assume no previous knowledge of machine learning.\n\n*B
 iography*: Chris Bishop is Chief Research Scientist at Microsoft Research 
 Cambridge\, and Professor of Computer Science at the University of Edinbur
 gh. He is also a Fellow of Darwin College Cambridge\, a Fellow of the Roya
 l Academy of Engineering and a Fellow of the Royal Society of Edinburgh. H
 is research interests include probabilistic approaches to machine learning
 \, as well as their application to fields such as computer vision and biom
 edical science. In 2008 he presented the prestigious Royal Institution Chr
 istmas Lectures\, broadcast at prime time on UK national television.\n
LOCATION:Large public lecture room\, Microsoft Research\, Roger Needham Bu
 ilding\, 7 J J Thomson Avenue\, Cambridge CB3 0FB
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