MARC details
000 -LEADER |
fixed length control field |
02004cam a22003855a 4500 |
001 - CONTROL NUMBER |
control field |
15512507 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
ZET-ke |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20230724053539.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
081106s2009 nyua b 001 0 eng |
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
LC control number |
2008941148 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9780387848570 |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
DLC |
Transcribing agency |
DLC |
Modifying agency |
ZET-ke |
Language of cataloging |
eng |
050 00 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
Q325.75 |
Item number |
.H37 2009 |
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
006.3/1 |
Edition number |
22 |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Hastie, Trevor. |
Relator term |
Author |
245 14 - TITLE STATEMENT |
Title |
The elements of statistical learning : |
Remainder of title |
data mining, inference, and prediction / |
Statement of responsibility, etc |
Trevor Hastie, Robert Tibshirani, Jerome Friedman. |
250 ## - EDITION STATEMENT |
Edition statement |
2nd ed. |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Place of publication, distribution, etc |
New York, NY : |
Name of publisher, distributor, etc |
Springer, |
Date of publication, distribution, etc |
2017. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xxii, 745 p. : |
Other physical details |
ill. (some col.) ; |
Dimensions |
25 cm. |
490 0# - SERIES STATEMENT |
Series statement |
Springer series in statistics, |
International Standard Serial Number |
0172-7397 |
504 ## - BIBLIOGRAPHY, ETC. NOTE |
Bibliography, etc |
Includes bibliographical references (p. [699]-727) and indexes. |
505 ## - FORMATTED CONTENTS NOTE |
Formatted contents note |
Overview of supervised learning -- Linear methods for regression -- Linear methods for classification -- Basic expansions and regularization -- Kernel smoothing methods -- Mode;s assessment and selection -- Model assessment and selection -- Additive models,trees , and related methods --Boosting and additive trees -- Natural networks -- Support vector machines and flexible discriminants -- Prototype methods and nearest- neighbors Unsupervised learning -- Random forests -- Ensemble learning -- Undirected graphic models - High- dimensional problems : p>>n |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Machine learning. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Statistics |
General subdivision |
Methodology. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Data mining. |
9 (RLIN) |
201 |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Bioinformatics. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Inference. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Forecasting. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Computational intelligence. |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Tibshirani, Robert. |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Friedman, J. H. |
Fuller form of name |
(Jerome H.) |
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
a |
7 |
b |
cbc |
c |
orignew |
d |
2 |
e |
epcn |
f |
20 |
g |
y-gencatlg |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Library of Congress Classification |
Koha item type |
Books |
Classification part |
Q325.75 |
Item part |
.H37 2017 |
Call number prefix |
Q325.75 |
Call number suffix |
.H37 2017 |