Information theory, inference, and learning algorithms / (Record no. 65216)
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000 -LEADER | |
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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 |
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 |
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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 |