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Information Theory, Inference, and Learning Algorithms (David J.C. MacKay)

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Information Theory, Inference, and Learning Algorithms (David J.C. MacKay)

Information Theory, Inference, and Learning Algorithms (David J.C. MacKay)

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Information Theory Lecture Notes

Information Theory Lecture Notes

This is a graduate-level introduction to mathematics of information theory. This note will cover both classical and modern topics, including information entropy, lossless data compression, binary hypothesis testing, channel coding, and lossy data compression.

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Information Theory, Inference, and Learning Algorithms (David J.C. MacKay)

Information Theory, Inference, and Learning Algorithms (David J.C. MacKay)

Currently this section contains no detailed description for the page, will update this page soon.

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