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  <title><![CDATA[Information Theory, Inference &amp; Learning Algorithms]]></title>
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  <default_description>Information theory and inference, often taught separately, are here united in one entertaining textbook. These topics lie at the heart of many exciting areas of contemporary science and engineering - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics, and cryptography.   This textbook 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-correction. A toolbox of inference techniques, including message-passing algorithms, Monte Carlo methods, and variational approximations, are developed alongside applications of these tools to clustering, convolutional codes, independent component analysis, and neural networks.   The final part of the book describes the state of the art in error-correcting codes, including low-density parity-check codes, turbo codes, and digital fountain codes -- the twenty-first century standards for satellite communications, disk drives, and data broadcast.    Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, David MacKay's groundbreaking book is ideal for self-learning and for undergraduate or graduate courses. Interludes on crosswords, evolution, and sex provide entertainment along the way.   In sum, this is a textbook on information, communication, and coding for a new generation of students, and an unparalleled entry point into these subjects for professionals in areas as diverse as computational biology, financial engineering, and machine learning.</default_description>
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  <original_publication_month type="integer">6</original_publication_month>
  <original_publication_year type="integer">2002</original_publication_year>
  <original_title>Information Theory, Inference &amp; Learning Algorithms</original_title>
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      <name><![CDATA[David J.C. MacKay]]></name>
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    <body><![CDATA[I chose this to accompany my reading of Norvig's text on <a href="http://www.goodreads.com/book/show/27543.Artificial_Intelligence_A_Modern_Approach_2nd_Edition_" title="Artificial Intelligence  A Modern Approach (2nd Edition) by Stuart J. Russell">artificial intelligence</a>.  I thought the information theoretic concepts deepened my understanding of intelligent agents functioning in an information-deprived environment.  The sections on genetic algorithms and neural networks gave a nifty inf...<a href="http://www.goodreads.com/review/show/26084740">more...</a>]]></body>
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    <body><![CDATA[This book is amazing!  Its a pretty esoteric approach to teaching machine learning and I don't think its a good introductory book on that subject.  But for folks already versed in the topic, this book can shed a lot of new light and does a good job abstracting it with concepts from information theor...<a href="http://www.goodreads.com/review/show/28031830">more...</a>]]></body>
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