Information Theory, Inference by David J. C. MacKay (.PDF)
File Size: 5 MB
Information Theory, Inference and Learning Algorithms by David J. C. MacKay
Requirements: .PDF reader, 5 MB
Overview: 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.
Genre: Non-Fiction > Tech & Devices
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