Information Theory, Inference and Learning Algorithms

David J. C. MacKay

ISBN 10: 0521642981 / ISBN 13: 9780521642989

Published by Cambridge University Press, 2003

Information Theory, Inference and Learning Algorithms This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. . Seller Inventory # 7719-9780521642989

Synopsis:

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

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.

Bibliographic Details

Title: Information Theory, Inference and Learning ...
Publisher: Cambridge University Press
Publication Date: 2003
Binding: Hardcover
Condition: Very Good