Information Theory, Inference and Learning Algorithms

Released on by David J. C. MacKay
preview-18

  • Information Theory, Inference and Learning Algorithms Book Detail

  • Author : David J. C. MacKay
  • Release Date : 2003-09-25
  • Publisher : Cambridge University Press
  • Genre : Computers
  • Pages : 694
  • ISBN 13 : 9780521642989
  • File Size : 90,90 MB
DOWNLOAD BOOK

Information Theory, Inference and Learning Algorithms by David J. C. MacKay PDF Summary

Book Description: Information theory and inference, taught together in this exciting textbook, lie at the heart of many important areas of modern technology - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics and cryptography. The book 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. Inference techniques, including message-passing algorithms, Monte Carlo methods and variational approximations, are developed alongside applications to clustering, convolutional codes, independent component analysis, and neural networks. Uniquely, the book covers state-of-the-art error-correcting codes, including low-density-parity-check codes, turbo codes, and digital fountain codes - the twenty-first-century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, the book is ideal for self-learning, and for undergraduate or graduate courses. It also provides an unparalleled entry point for professionals in areas as diverse as computational biology, financial engineering and machine learning.

Disclaimer: www.yourbookbest.com does not own Information Theory, Inference and Learning Algorithms books pdf, neither created or scanned. We just provide the link that is already available on the internet, public domain and in Google Drive. If any way it violates the law or has any issues, then kindly mail us via contact us page to request the removal of the link.

Theory of Information and its Value

Theory of Information and its Value

File Size : 29,29 MB
Total View : 5949 Views
DOWNLOAD

This English version of Ruslan L. Stratonovich’s Theory of Information (1975) builds on theory and provides methods, techniques, and concepts toward utilizing

The Mathematical Theory of Information

The Mathematical Theory of Information

File Size : 4,4 MB
Total View : 1297 Views
DOWNLOAD

The general concept of information is here, for the first time, defined mathematically by adding one single axiom to the probability theory. This Mathematical T

New Foundations for Information Theory

New Foundations for Information Theory

File Size : 93,93 MB
Total View : 2762 Views
DOWNLOAD

This monograph offers a new foundation for information theory that is based on the notion of information-as-distinctions, being directly measured by logical ent