Items related to Information Theory, Inference and Learning Algorithms

Information Theory, Inference and Learning Algorithms - Softcover

MacKay, David J. C.

 
9780521642989: Information Theory, Inference and Learning Algorithms
Softcover
ISBN 10: 0521642981 ISBN 13: 9780521642989
Publisher: Cambridge University Press, 2003

Synopsis

Fun and exciting textbook on the mathematics underpinning the most dynamic areas of modern science and engineering.

"synopsis" may belong to another edition of this title.

From the Inside Flap

An instant classic, covering everything from Shannon's fundamental theorems to the postmodern theory of LDPC codes. You'll want two copies of this astonishing book, one for the office and one for the fireside at home. - Bob McEliece, California Institute of Technology

This is an extraordinary and important book, generous with insight and rich with detail in statistics, information theory, and probabilistic modeling across a wide swathe of standard, creatively original, and delightfully quirky topics. David MacKay is an uncompromisingly lucid thinker, from whom students, faculty and practitioners all can learn.
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Zoubin Ghahramani and Peter Dayan
Gatsby Computational Neuroscience Unit, University College London.

An utterly original book that shows the connections between such disparate fields as information theory and coding, inference, and statistical physics.
Dave Forney, M.I.T.

"About this title" may belong to another edition of this title.

Publisher
Cambridge University Press
Publication date
2003
Language
English
ISBN 10 
0521642981
ISBN 13 
9780521642989
Binding
Paperback
Number of pages
642