Pattern Recognition and Machine Learning (Record no. 5104)
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000 -LEADER | |
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fixed length control field | 01400nam a2200253Ia 4500 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | RRU |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20230311164044.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 210901s2001 ||||||||| ||||||| 0|eng|d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9781493938438 |
Printed Price | Rs. 9480.00 |
040 ## - CATALOGING SOURCE | |
Original cataloging agency | RRU |
Language of cataloging | English |
041 ## - LANGUAGE CODE | |
Language code of text/sound track or separate title | eng |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Class No. | 006.42 |
Item number | BIS |
100 ## - FIRST AUTHOR (IF A PERSON) | |
9 (RLIN) | 2532 |
Name of author | Bishop, Christopher M |
245 #0 - TITLE STATEMENT | |
Title | Pattern Recognition and Machine Learning |
Statement of responsibility | Christopher M. Bishop |
250 ## - EDITION STATEMENT | |
Edition statement | 1st Ed. |
260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
Name of publisher, distributor, etc. | Springer |
Date of publication, distribution, etc. | 2006 |
Place of publication, distribution, etc. | New York |
300 ## - PHYSICAL DESCRIPTION | |
No. of pages | 738p. |
Other physical details | 17.78 x 3.84 x 25.4 cm |
520 ## - SUMMARY, ETC. | |
Summary, etc. | 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 | |
Subject heading | Machine learning |
9 (RLIN) | 1429 |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Subject heading | Pattern perception |
9 (RLIN) | 2533 |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Subject heading | Pattern recognition systems |
9 (RLIN) | 2534 |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Subject heading | Mathematical statistics |
9 (RLIN) | 2535 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Source of classification or shelving scheme | Dewey Decimal Classification |
Koha item type | Books |
Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan (e.g. reference copy) | Home library | Current library | Date acquired | Inventory number | Total Checkouts | Full call number | Accession No | Date last seen | Item MRP (printed price) | Price effective from | Koha item type | Purchase price (after disc. etc) |
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Dewey Decimal Classification | Rashtriya Raksha University | Rashtriya Raksha University | 10/11/2020 | 08122 | 6.42 BIS | 8122 | 02/09/2021 | 9480.00 | 02/09/2021 | Books | ||||||
Dewey Decimal Classification | Rashtriya Raksha University | Rashtriya Raksha University | 10/11/2020 | 08123 | 6.42 BIS | 8123 | 02/09/2021 | 9480.00 | 02/09/2021 | Books | ||||||
Dewey Decimal Classification | Rashtriya Raksha University | Rashtriya Raksha University | 08/03/2022 | 006.4 BIS | 11508 | 10/03/2022 | 6942.00 | 10/03/2022 | Books | 6942.00 |