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Information Theory, Inference, and Learning Algorithms

Spanning over 600 pages, this online textbook about information theory was released in its final version on June 26, 2003. The book's author, a physics professor at the University of Cambridge, wrote the book with the intention of unifying theoretical concepts with practical statistical communications. Furthermore, he addresses "Bayesian data modeling, Monte Carlo methods," and much more to provide a thorough overview of advanced data compression and error-correcting codes. The book's material spans many disciplines, having applications in engineering, computer science, mathematics, and the other sciences.
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Scout Publication
Date of Scout Publication 2003-08-15
Archived Scout Publication URL https://scout.wisc.edu/report/nsdl/met/2003/0815

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