Pattern Recognition and Machine Learning (Record no. 814544)

MARC details
000 -LEADER
fixed length control field 01521nam a22002417a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240125s2006 |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781493938438
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
ISSN-L 9781493938438
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title English
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.4
Item number BIS
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Bishop, Christopher M
9 (RLIN) 158326
Relator term author
245 ## - TITLE STATEMENT
Title Pattern Recognition and Machine Learning
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. New York, NY :
Name of publisher, distributor, etc. Springer,
Date of publication, distribution, etc. c2006
300 ## - PHYSICAL DESCRIPTION
Extent xx, 738 p.
Other physical details : ill
490 ## - SERIES STATEMENT
Series statement Information Science and Statistics
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes Bibliographical References and Index
520 ## - SUMMARY, ETC.
Summary, etc. SUMMARY<br/>This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 149423
Topical term or geographic name entry element Pattern Perception
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 845
Topical term or geographic name entry element Machine Learning
856 ## - ELECTRONIC LOCATION AND ACCESS
Link text TOC
Uniform Resource Identifier <a href="https://eaklibrary.neduet.edu.pk:8443/catalog/bk/books/toc/9781493938438.pdf">https://eaklibrary.neduet.edu.pk:8443/catalog/bk/books/toc/9781493938438.pdf</a>
856 ## - ELECTRONIC LOCATION AND ACCESS
Link text WEB LINK
Uniform Resource Identifier <a href="https://www.wob.com/en-gb/books/christopher-m-bishop/pattern-recognition-and-machine-learning/9781493938438">https://www.wob.com/en-gb/books/christopher-m-bishop/pattern-recognition-and-machine-learning/9781493938438</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Physical Form Damaged status Not for loan Purchased by Department/Discipline Home library Current library Shelving location Date acquired Source of acquisition Stock Type Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Budget Year Cost, replacement price Accession Date Koha item type
    Dewey Decimal Classification Text, Paperback     Department of Mechanical Engineering Reference Section Reference Section Reference Section 23/01/2024 38 Purchased 23447.95   006.4 BIS 98601 23/01/2024 2023-24 23447.94 23/01/2024 Reference Collection