Information Theory, Inference and Learning Algorithms
Overview & Synopsis
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. financial engineering, and machine learning.
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Document Information
| Document Title | Information Theory, Inference and Learning Algorithms |
|---|---|
| Author / Organization | David J. C. MacKay |
| Subject & Discipline | Information Theory and Systems, Machine Learning, Algorithms and Data Structures, Combinatorics and Game Theory, Discrete and Finite Mathematics, Operations Research and Optimization, Computational Complexity |
| Categories | Information Theory and Systems |
| Publication Year | 2003 |
| ISBN | 978-0521642989 |
| Resource Verification | Verification pending |
| Original Host Website |
FreeComputerBooks.com
(freecomputerbooks.com)
|
| File Format | application/pdf (Portable Document Format) |
| Language | ENGLISH |
| Catalog ID | DOC-259121 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |
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