MARC details
000 -LEADER |
fixed length control field |
02614nam a22002657a 4500 |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20211208151150.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
211208b ||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781071614174 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
519.5 |
Item number |
JAM |
100 ## - MAIN ENTRY--PERSONAL NAME |
Personal name |
James, Gareth |
245 ## - TITLE STATEMENT |
Title |
An introduction to statistical learning: with applications in R |
250 ## - EDITION STATEMENT |
Edition statement |
2nd |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Name of publisher, distributor, etc. |
Springer |
Place of publication, distribution, etc. |
New York |
Date of publication, distribution, etc. |
2021 |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xv, 607 p. |
365 ## - TRADE PRICE |
Price type code |
EURO |
Price amount |
84.99 |
504 ## - BIBLIOGRAPHY, ETC. NOTE |
Bibliography, etc. note |
Table of content<br/><br/>Front Matter<br/>Pages i-xv<br/>PDF<br/>Introduction<br/>Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani<br/>Pages 1-14<br/>Statistical Learning<br/>Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani<br/>Pages 15-57<br/>Linear Regression<br/>Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani<br/>Pages 59-128<br/>Classification<br/>Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani<br/>Pages 129-195<br/>Resampling Methods<br/>Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani<br/>Pages 197-223<br/>Linear Model Selection and Regularization<br/>Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani<br/>Pages 225-288<br/>Moving Beyond Linearity<br/>Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani<br/>Pages 289-326<br/>Tree-Based Methods<br/>Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani<br/>Pages 327-365<br/>Support Vector Machines<br/>Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani<br/>Pages 367-402<br/>Deep Learning<br/>Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani<br/>Pages 403-460<br/>Survival Analysis and Censored Data<br/>Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani<br/>Pages 461-495<br/>Unsupervised Learning<br/>Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani<br/>Pages 497-552<br/>Multiple Testing<br/>Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani<br/>Pages 553-595 |
520 ## - SUMMARY, ETC. |
Summary, etc. |
Presents an essential statistical learning toolkit for practitioners in science, industry, and other fields<br/>Demonstrates application of the statistical learning methods in R<br/>Includes new chapters on deep learning, survival analysis, and multiple testing<br/>Covers a range of topics, such as linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and deep learning<br/>Features extensive color graphics for a dynamic learning experience |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Mathematical statistics |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
R (Computer program language) |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Mathematical models |
700 ## - ADDED ENTRY--PERSONAL NAME |
Personal name |
Witten, Daniela |
700 ## - ADDED ENTRY--PERSONAL NAME |
Personal name |
Hastie, Trevor |
700 ## - ADDED ENTRY--PERSONAL NAME |
Personal name |
Tibshirani, Robert |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Dewey Decimal Classification |
Koha item type |
Book |