Lecture 10 An Introduction To Bayesian Inference II Inference Of Parameters And Models

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Lecture 10 of the Course on Information Theory, Pattern Recognition, and Neural Networks. • Produced by: David MacKay (University of Cambridge) • Author: David MacKay, University of Cambridge • A series of sixteen lectures covering the core of the book Information Theory, Inference, and Learning Algorithms (Cambridge University Press, 2003, http://www.inference.eng.cam.ac.uk/ma...) which can be bought at Amazon (http://www.amazon.co.uk/exec/obidos/A..., and is available free online (http://www.inference.eng.cam.ac.uk/ma.... • A subset of these lectures used to constitute a Part III Physics course at the University of Cambridge. The high-resolution videos and all other course material can be downloaded from the Cambridge course website (http://www.inference.eng.cam.ac.uk/ma.... • Snapshots of the lecture can be found here: • http://www.inference.eng.cam.ac.uk/it... • These lectures are also available at • http://videolectures.net/course_infor... • (synchronized with snapshots and slides)

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