MARC details
| 000 -LEADER |
|---|
| fixed length control field |
02693nam a22003017a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
ISURa |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
190524b xxu||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781461471370 |
|
|---|
| International Standard Book Number |
9781461471387 |
| 041 ## - LANGUAGE CODE |
|---|
| Language code of text/sound track or separate title |
English Language |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
519.5 |
| Item number |
ANI |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
James, Gareth |
| 9 (RLIN) |
72254 |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
An introduction to statistical learning |
| Remainder of title |
with applications in R |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
New York, NY |
| Name of publisher, distributor, etc |
Springer, |
| Date of publication, distribution, etc |
2013. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
Xiv, 426 p. |
| Other physical details |
Illustration |
| Dimensions |
24 cm. |
| 440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE |
|---|
| Title |
Springer texts in statistics, 103. |
| 9 (RLIN) |
72255 |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Introduction --<br/>Statistical Learning --<br/>Linear Regression --<br/>Classification --<br/>Resampling Methods --<br/>Linear Model Selection and Regularization --<br/>Moving Beyond Linearity --<br/>Tree-Based Methods --<br/>Support Vector Machines --<br/>Unsupervised Learning. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Mathematical statistics. |
| 9 (RLIN) |
20830 |
|
|---|
| Topical term or geographic name as entry element |
R (Computer program language) |
| 9 (RLIN) |
25134 |
|
|---|
| Topical term or geographic name as entry element |
Statistics as Topic. |
| 9 (RLIN) |
72256 |
|
|---|
| Topical term or geographic name as entry element |
Mathematical models |
| 9 (RLIN) |
5773 |
|
|---|
| Topical term or geographic name as entry element |
Statistics |
| 9 (RLIN) |
5598 |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Trevor, Hastie |
| 9 (RLIN) |
72257 |
|
|---|
| Personal name |
Robert, Tibshirani |
| 9 (RLIN) |
72258 |
|
|---|
| Personal name |
Gareth, James |
| 9 (RLIN) |
72259 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Lending Books |
