Shopping Cart

No products in the cart.

Information Theory, Inference and Learning Algorithms

Original price was: $72.99.Current price is: $5.00.

  • Publisher: Cambridge University Press; Illustrated edition
  • Publication date: September 25, 2003
  • Author: David J. C. MacKay
  • Language: ‎English
  • File size: 10.9 MB
  • Format: ‎PDF
  • Pages: 642 pages
Brand Electro eBooks

Information Theory, Inference and Learning Algorithms Illustrated Edition

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, is developed alongside applications of these tools to clustering, convolutional codes, independent component analysis, and neural networks. The final part of the book describes the state of the art in 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 broadcasts. Richly illustrated and filled with work examples and over 400 exercises, some with detailed solutions, David MacKay's groundbreaking book is ideal for self-learning and undergraduate or graduate courses. Interludes on crosswords, evolution, and sex provide entertainment along the way. In sum, this is a textbook on information, communication, and coding for a new generation of students and an unparalleled entry point into these subjects for professionals in areas as diverse as computational biology, financial engineering, and machine learning.

Reviews

There are no reviews yet.

Be the first to review “Information Theory, Inference and Learning Algorithms”

Your email address will not be published. Required fields are marked *

Secure Payments
Securing online payments is a shared responsibility, and everyone can contribute their share.
Free Shipping
You get unlimited free shipping on eligible items with Electro eBooks, with no minimum spend.
Gifts & Sales
Sales gifts are helpful tools that are often used to show appreciation to clients for purchasing a product.
24/7 Support
Our customer care service is offered in the form of 1st or 2nd level support.
Electro eBooks W 170

Important updates waiting for you!

Subscribe and grab 20% OFF!
Subscription Form

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

Original price was: $72.99.Current price is: $5.00.