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Information Theory, Inference, and Learning Algorithms

Information Theory, Inference, and Learning Algorithms

This book is aimed at senior undergraduates and graduate students in Engineering, Science, Mathematics, and Computing. It expects familiarity with calculus, probability theory, and linear algebra as taught in a first- or second-year undergraduate course on mathematics for scientists and engineers. Conventional courses on information theory cover not only the beautiful theoretical ideas of Shannon, but also practical solutions to communication...

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