Information Theory, Inference, and Learning Algorithms

this book is legal to download, under GNU license, feel free to download but don't sell to anyone, more than 600 page explain clearly from beginning until advanced theory of Information, Inference, and Learning Algorithms, this book is very good to informatics engineering student, computer or related study,
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, written by David J. C. MacKay

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