Cover of Information Theory, Inference, and Learning AlgorithmsQ0360.M23 2003
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Information Theory, Inference, and Learning Algorithms

by David MacKay

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Originally published as «INFORMATION THEORY, INFERENCE, AND LEARNING ALGORITHMS.» (UND)

Information theory and inference, taught together in this exciting textbook, lie at the heart of many important areas of modern technology - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics and cryptography. The book introduces theory in tandem with applications. Information theory is taught alongside practical communication systems such as arithmetic coding for data compression and sparse-graph codes for error-corre...

First published 2003694 pages
003.54
Category
Science
Priority
Must-Read
Author works
1
Editions known
3
Classification
Dewey (DDC)
003.54
Library of Congress (LCC)
Q0360.M23 2003
Subjects
003/.54AlgorithmsAlgoritmenAprendizado computacionalBayesianDat 708fInferenceInferenzInferenz (künstliche intelligenz)Inferenz <künstliche intelligenz>InformatietheorieInformation theory
This edition
ISBN 0521642981English
DATE DUE
First published2003
StatusREAD

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