MARC details
| LIBRARY OF CONGRESS CONTROL NUMBER |
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| LC control number |
2013936251 |
| ISBN |
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| International Standard Book Number |
9781461471370 |
| ISBN |
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| International Standard Book Number |
1461471370 (acid-free paper) |
| SUBJECT CATEGORY CODE |
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| Subject category code |
QA |
| Source |
lcco |
| DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Call number |
519.5 |
| MAIN ENTRY--PERSONAL AUTHOR |
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| Authors |
James, Gareth |
| TITLE STATEMENT |
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| Title |
An introduction to statistical learning : |
| Subtitle |
with applications in R |
| Statement of responsibility, etc. |
Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani |
| VARYING FORM OF TITLE |
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| Title proper/short title |
Statistical learning |
| PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
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| Place of publication |
New York : |
| Publisher |
Springer, |
| Date |
c2013. |
| PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
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| Date |
©2013 |
| PHYSICAL DESCRIPTION |
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| Extent |
xiv, 426 p. : |
| Other Details |
ill. (some col.) ; |
| Size |
24 cm. |
| SERIES STATEMENT |
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| Series statement |
Springer texts in statistics, |
| International Standard Serial Number |
1431-875X ; |
| Volume/sequential designation |
103 |
| GENERAL NOTE |
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| General note |
Includes index. |
| SUMMARY |
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| Summary |
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.</p> <p>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. |
| STUDY PROGRAM |
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| Program name |
CSCI323 |
| SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical Heading |
Mathematical statistics |
| SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical Heading |
Mathematical models |
| SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical Heading |
Mathematical statistics |
| Geographic |
Problems, exercises, etc. |
| SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical Heading |
Mathematical models |
| Geographic |
Problems, exercises, etc. |
| SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical Heading |
R (Computer program language) |
| SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical Heading |
Statistics |
| ADDED ENTRY |
|---|
| Personal name |
Witten, Daniela |
| ADDED ENTRY |
|---|
| Personal name |
Hastie, Trevor |
| ADDED ENTRY |
|---|
| Personal name |
Tibshirani, Robert |
| SERIES UNIFORM TITLE |
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| Series Uniform Title |
Springer texts in statistics |
| ELECTRONIC LOCATION AND ACCESS |
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| Uniform Resource Identifier |
<a href="https://static1.squarespace.com/static/5ff2adbe3fe4fe33db902812/t/6062a083acbfe82c7195b27d/1617076404560/ISLR%2BSeventh%2BPrinting.pdf">https://static1.squarespace.com/static/5ff2adbe3fe4fe33db902812/t/6062a083acbfe82c7195b27d/1617076404560/ISLR%2BSeventh%2BPrinting.pdf</a> |
| Public note |
eBook |
| ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
<a href="https://uowd.box.com/s/w3nr0q6amitab7ji3655n4lf5ia4tlic">https://uowd.box.com/s/w3nr0q6amitab7ji3655n4lf5ia4tlic</a> |
| Public note |
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