**Information Theory, Inference, and Learning Algorithms**

by David J. C. MacKay

**Publisher**: Cambridge University Press 2003**ISBN/ASIN**: 0521642981**ISBN-13**: 9780521642989**Number of pages**: 640

**Description**:

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. A toolbox of inference techniques, including message-passing algorithms, Monte Carlo methods, and variational approximations, are developed alongside applications of these tools to clustering, convolutional codes, independent component analysis, and neural networks.

Download or read it online for free here:

**Download link**

(multiple formats)

## Similar books

**Network Coding Theory**

by

**Raymond Yeung, S-Y Li, N Cai**-

**Now Publishers Inc**

A tutorial on the basics of the theory of network coding. It presents network coding for the transmission from a single source node, and deals with the problem under the more general circumstances when there are multiple source nodes.

(

**12277**views)

**The Limits of Mathematics**

by

**Gregory J. Chaitin**-

**Springer**

The final version of a course on algorithmic information theory and the epistemology of mathematics. The book discusses the nature of mathematics in the light of information theory, and sustains the thesis that mathematics is quasi-empirical.

(

**7712**views)

**Entropy and Information Theory**

by

**Robert M. Gray**-

**Springer**

The book covers the theory of probabilistic information measures and application to coding theorems for information sources and noisy channels. This is an up-to-date treatment of traditional information theory emphasizing ergodic theory.

(

**12032**views)

**Quantum Information Theory**

by

**Robert H. Schumann**-

**arXiv**

A short review of ideas in quantum information theory. Quantum mechanics is presented together with some useful tools for quantum mechanics of open systems. The treatment is pedagogical and suitable for beginning graduates in the field.

(

**11400**views)