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Information Theory, Inference, and Learning Algorithms pdf

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Information Theory, Inference, and Learning Algorithms pdf

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Name:Information Theory, Inference, and Learning Algorithms pdf

Infohash: 71B433DCB944A3D28C737DDE38086B11B79FEB61

Total Size: 11.13 MB

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Last Updated: 2023-08-19 12:16:37 (Update Now)

Torrent added: 2008-08-27 12:57:23






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Information Theory, Inference, and Learning Algorithms.pdf (Size: 11.13 MB) (Files: 1)

 Information Theory, Inference, and Learning Algorithms.pdf

11.13 MB
 

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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 rst- or secondyear
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
problems. This book goes further, bringing in Bayesian data modelling,
Monte Carlo methods, variational methods, clustering algorithms, and neural
networks.

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