Information Theory, Inference and Learning Algorithms

David J. C. MacKay

ISBN 10: 0521642981 / ISBN 13: 9780521642989

Published by Cambridge University Press 25/09/2003, 2003

Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee. Seller Inventory # 6545-9780521642989

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.
-
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 25/09/2003
Publication Date: 2003
Binding: Hardcover
Condition: Very Good