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Introduction to machine learning / (Record no. 25804)

MARC details
000 -LEADER
fixed length control field	02028cam a2200301 i 4500
003 - CONTROL NUMBER IDENTIFIER
control field	CUTN
005 - DATE AND TIME OF LATEST TRANSACTION
control field	20180912114806.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field	140327s2014 maua b 001 0 eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number	9788120350786
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number	9780262028189 (hardcover)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number	0262028182 (hardcover)
041 ## - LANGUAGE CODE
Language	English
042 ## - AUTHENTICATION CODE
Authentication code	pcc
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number	006.31
Edition number	23
Item number	ALP
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name	Alpaydin, Ethem,
245 10 - TITLE STATEMENT
Title	Introduction to machine learning /
Statement of responsibility, etc	Ethem Alpaydin.
250 ## - EDITION STATEMENT
Edition statement	Third edition.
300 ## - PHYSICAL DESCRIPTION
Extent	xxii, 613 pages :
Other physical details	illustrations ;
Dimensions	24 cm.
505 0# - FORMATTED CONTENTS NOTE
Contents	Introduction -- Supervised learning -- Bayesian decision theory -- Parametric methods -- Multivariate methods -- Dimensionality reduction -- Clustering -- Nonparametric methods -- Decision trees -- Linear discrimination -- Multilayer perceptrons -- Local models -- Kernel machines -- Graphical models -- Hidden markov models -- Bayesian estimation -- Combining multiple learners -- Reinforcement learning -- Design and analysis of machine learning experiments.
505 0# - FORMATTED CONTENTS NOTE
Contents	Preface <br/><br/>Notations <br/><br/>1. Introduction <br/><br/>2 Supervised Learning <br/><br/>3. Bayesian Decision Theory <br/><br/>4. Parametric Methods<br/><br/>5. Multivariate Methods <br/><br/>6. Dimensionality Reduction <br/><br/>7. Clustering <br/><br/>8. Nonparametric Methods <br/><br/>9. Decision Trees<br/><br/>10. Linear Discrimination<br/><br/>11. Multilayer Perceptrons <br/><br/>12. Local Models<br/><br/>13. Kernel Machines<br/><br/>14. Graphical Models <br/><br/>15. Hidden Markov Models <br/><br/>16. Bayesian Estimation<br/><br/>17. Combining Multiple Learners<br/><br/>18. Reinforcement Learning<br/><br/>19. Design and Analysis of Machine Learning Experiments<br/><br/>A. Probability <br/><br/>Index
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element	Machine learning.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme	Dewey Decimal Classification
Koha item type	General Books
100 1# - MAIN ENTRY--PERSONAL NAME
Relator term	author.
490 0# - SERIES STATEMENT
Series statement	Adaptive computation and machine learning
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc	Includes bibliographical references (page 203) and index.
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN)
a	7
b	cbc
c	orignew
d	1
e	ecip
f	20
g	y-gencatlg

Holdings
Source of classification or shelving scheme	Collection code	Home library	Location	Shelving location	Date of Cataloging	Total Checkouts	Total Renewals	Full call number	Barcode	Checked out	Date last seen	Date checked out	Price effective from	Koha item type
Dewey Decimal Classification	Non-fiction	CUTN Central Library	CUTN Central Library	Generalia	12/09/2018	4	3	006.31 ALP	34119	05/08/2022	08/07/2022	08/07/2022	12/09/2018	General Books
Dewey Decimal Classification	Non-fiction	CUTN Central Library	CUTN Central Library	Generalia	12/09/2018	7	6	006.31 ALP	34120		02/05/2024	05/03/2024	12/09/2018	General Books
Dewey Decimal Classification	Non-fiction	CUTN Central Library	CUTN Central Library	Generalia	12/09/2018	7	4	006.31 ALP	34121		14/03/2024	29/02/2024	12/09/2018	General Books