An introduction to statistical learning : (Record no. 7568)
[ view plain ]
000 -LEADER | |
---|---|
fixed length control field | 02292nam a2200241Ia 4500 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 211217s9999 xx 000 0 und d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9781461471370 (hb.) |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 519.5 |
Item number | JAM |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | James, Gareth |
245 #3 - 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 |
Name of publisher, distributor, etc. | Springer |
Date of publication, distribution, etc. | 2013 |
300 ## - PHYSICAL DESCRIPTION | |
Extent | xiv, 426p. |
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE | |
Title | Springer texts in Satatistics |
500 ## - GENERAL NOTE | |
General note | https://link.springer.com/book/10.1007/978-1-4614-7138-7 |
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 |
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 | Statistics |
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) | |
Koha item type | Book |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
9 (RLIN) | 638 |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
9 (RLIN) | 2793 |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
9 (RLIN) | 401 |
700 ## - ADDED ENTRY--PERSONAL NAME | |
9 (RLIN) | 2794 |
700 ## - ADDED ENTRY--PERSONAL NAME | |
9 (RLIN) | 2453 |
700 ## - ADDED ENTRY--PERSONAL NAME | |
9 (RLIN) | 2458 |
Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | bill no. | bill date | Home library | Current library | Date acquired | Source of acquisition | Cost, normal purchase price | Total Checkouts | Total Renewals | Full call number | Barcode | Date last seen | Date checked out | Price effective from | Koha item type |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Dewey Decimal Classification | Mathematics | 284 | 31.03.2021 | Plaksha University Library | Plaksha University Library | 16/09/2021 | T V Enterprises | 1999.00 | 4 | 2 | 519.5 JAM | 001060 | 16/05/2024 | 06/04/2024 | 16/09/2021 | Book | ||||
Dewey Decimal Classification | Mathematics | 284 | 31.03.2021 | Plaksha University Library | Plaksha University Library | 16/09/2021 | T V Enterprises | 1999.00 | 8 | 4 | 519.5 JAM | 001061 | 21/04/2024 | 18/03/2024 | 16/09/2021 | Book | ||||
Dewey Decimal Classification | Mathematics | 333/21-22 | 23.11.2078 | Plaksha University Library | Plaksha University Library | 17/12/2021 | T V Enterprises | 3995.00 | 5 | 2 | 519.5 JAM | 002335 | 26/02/2024 | 28/01/2024 | 17/12/2021 | Book | ||||
Dewey Decimal Classification | Mathematics | 333/21-22 | 23.11.2078 | Plaksha University Library | Plaksha University Library | 17/12/2021 | T V Enterprises | 3995.00 | 5 | 6 | 519.5 JAM | 002336 | 09/07/2023 | 22/05/2023 | 17/12/2021 | Book | ||||
Dewey Decimal Classification | Mathematics | 333/21-22 | 23.11.2078 | Plaksha University Library | Plaksha University Library | 17/12/2021 | T V Enterprises | 3995.00 | 3 | 1 | 519.5 JAM | 002337 | 27/07/2023 | 13/12/2022 | 17/12/2021 | Book | ||||
Dewey Decimal Classification | Mathematics | IN-271 | 19/09/2023 | Plaksha University Library | Plaksha University Library | 28/09/2023 | Amazon.in | 550.00 | 519.5 JAM | 004558 | 28/09/2023 | 28/09/2023 | Book |