Information theory, inference, and learning algorithms / (Record no. 65216)

MARC details
000 -LEADER
fixed length control field 01796nam a22001577a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 200604b2003 ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780521642989
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 003.54 MAC-D
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Mackay, David J. C.
245 ## - TITLE STATEMENT
Title Information theory, inference, and learning algorithms /
Statement of responsibility, etc. David J. C. MacKay
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. United Kingdom
Name of publisher, distributor, etc. Cambridge University Press
Date of publication, distribution, etc. 2003
300 ## - PHYSICAL DESCRIPTION
Extent 628 p.
365 ## - TRADE PRICE
Price type code GBP
Price amount 49.99.
500 ## - GENERAL NOTE
General note 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.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Information theory
952 ## - LOCATION AND ITEM INFORMATION (KOHA)
Withdrawn status
Holdings
Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Cost, normal purchase price Total Checkouts Total Renewals Full call number Barcode Checked out Date last seen Date last checked out Price effective from Koha item type
  Dewey Decimal Classification     003-007 BITS Pilani Hyderabad BITS Pilani Hyderabad Text & Reference Section (Student cannot borrow these books) 04/06/2020 49.99 2 1 003.54 MAC-D 41027 24/10/2025 27/04/2025 27/04/2025 04/06/2020 Course Reference Books
An institution deemed to be a University Estd. Vide Sec.3 of the UGC
Act,1956 under notification # F.12-23/63.U-2 of Jun 18,1964

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