MARC details
000 -LEADER |
fixed length control field |
01673nam a2200289Ia 4500 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
BD-DhDIU |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20230822151128.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
041027s2004 maua b 001 0 eng d |
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
LC control number |
2004109627 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
0262012111 |
035 ## - SYSTEM CONTROL NUMBER |
System control number |
(OCoLC)ocm56830710 |
|
System control number |
(NNC)5003624 |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
TEF |
Transcribing agency |
TEF |
Modifying agency |
OrLoB-B |
-- |
BD-DhDIU |
Language of cataloging |
ENG |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
Q325.5 |
Item number |
.A473 2004 |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
006.31/ A456i |
Edition number |
22 |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Alpaydin, Ethem. |
9 (RLIN) |
3071 |
245 10 - TITLE STATEMENT |
Title |
Introduction to machine learning |
Statement of responsibility, etc |
Ethem Alpaydın. |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Place of publication, distribution, etc |
New Delhi : |
Name of publisher, distributor, etc |
Prentice-Hall of India, |
Date of publication, distribution, etc |
c2004. [reprinted 2006] |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xxx, 415 p. : |
Other physical details |
ill. , figs.; |
Dimensions |
24 cm. |
504 ## - BIBLIOGRAPHY, ETC. NOTE |
Bibliography, etc |
Includes bibliographical references and index. |
505 00 - FORMATTED CONTENTS NOTE |
Miscellaneous information |
1. |
Title |
Introduction -- |
Miscellaneous information |
2. |
Title |
Supervised learning -- |
Miscellaneous information |
3. |
Title |
Bayesian decision theory -- |
Miscellaneous information |
4. |
Title |
Parametric methods -- |
Miscellaneous information |
5. |
Title |
Multivariate methods -- |
Miscellaneous information |
6. |
Title |
Dimensionality reduction -- |
Miscellaneous information |
7. |
Title |
Clustering -- |
Miscellaneous information |
8. |
Title |
Nonparametric methods -- |
Miscellaneous information |
9. |
Title |
Decision trees -- |
Miscellaneous information |
10. |
Title |
Linear discrimination -- |
Miscellaneous information |
11. |
Title |
Multilayer perceptrons -- |
Miscellaneous information |
12. |
Title |
Local models -- |
Miscellaneous information |
13. |
Title |
Hidden Markov models -- |
Miscellaneous information |
14. |
Title |
Assessing and comparing classification algorithms -- |
Miscellaneous information |
15. |
Title |
Combining multiple learners -- |
Miscellaneous information |
16. |
Title |
Reinforcement learning -- |
Miscellaneous information |
A. |
Title |
Probability. |
520 1# - SUMMARY, ETC. |
Summary, etc |
"This book can be used by advanced undergraduates and graduate students who have completed courses in computer programming, probability, calculus, and linear algebra. It will also be of interest to engineers in the field who are concerned with the application of machine learning methods."--BOOK JACKET. |
526 ## - STUDY PROGRAM INFORMATION NOTE |
Program name |
CSE, CIS, CS |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Machine learning. |
9 (RLIN) |
3072 |
900 ## - EQUIVALENCE OR CROSS-REFERENCE-PERSONAL NAME [LOCAL, CANADA] |
Numeration |
TOC |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Dewey Decimal Classification |
Koha item type |
Book |
Koha issues (borrowed), all copies |
26 |