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Information Theory, Inference and Learning Algorithms MacKay Hardback
£47.49
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Located in: AL7 1AD, United Kingdom
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eBay item number:394469034797
Item specifics
- Condition
- BIC Subject Area 1
- Computer science [UY]
- BIC Subject Area 2
- Electronics & communications engineering [TJ]
- BIC Subject Area 3
- Physics [PH]
- ISBN
- 9780521642989
- Publication Year
- 2003
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Publication Name
- Information Theory, Inference and Learning Algorithms
- Item Height
- 254mm
- Publisher
- Cambridge University Press
- Item Width
- 195mm
- Subject
- Engineering & Technology, Computer Science, Physics
- Item Weight
- 1525g
- Number of Pages
- 640 Pages
About this product
Product Information
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. 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 broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, David MacKay's groundbreaking book is ideal for self-learning and for 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.
Product Identifiers
Publisher
Cambridge University Press
ISBN-13
9780521642989
eBay Product ID (ePID)
87755722
Product Key Features
Publication Name
Information Theory, Inference and Learning Algorithms
Format
Hardcover
Language
English
Subject
Engineering & Technology, Computer Science, Physics
Publication Year
2003
Type
Textbook
Number of Pages
640 Pages
Dimensions
Item Height
254mm
Item Width
195mm
Item Weight
1525g
Additional Product Features
Country/Region of Manufacture
United Kingdom
Item description from the seller
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PARTRAD LIMITED
Jonathan Parkins
10B Blenheim Court
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AL7 1AD
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