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Information Theory, Inference, and Learning Algorithms

David J.C. MacKay
4.52/5 (473 ratings)
Read Now Download Now
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.
Format:
Pages:
pages
Publication:
Publisher:
Edition:
Illustrated
Language:
ISBN10:
0521642981
ISBN13:
9780521642989
kindle Asin:
0521642981

Information Theory, Inference, and Learning Algorithms

David J.C. MacKay
4.52/5 (473 ratings)
Read Download
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.
Format:
Pages:
pages
Publication:
Publisher:
Edition:
Illustrated
Language:
ISBN10:
0521642981
ISBN13:
9780521642989
kindle Asin:
0521642981

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