An introduction to statistical learning: with applications in R (Record no. 5158)
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000 -LEADER | |
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fixed length control field | 01764nam a22002297a 4500 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20241211163246.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 241211b |||||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9781071614204 |
040 ## - CATALOGING SOURCE | |
Transcribing agency | National Institute of Technology Goa |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 519.5 |
Item number | JAM/INT |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | James, Gareth |
110 ## - MAIN ENTRY--CORPORATE NAME | |
Corporate name or jurisdiction name as entry element | Witten, Daniela |
111 ## - MAIN ENTRY--MEETING NAME | |
Meeting name or jurisdiction name as entry element | Hastie, Trevor |
245 ## - TITLE STATEMENT | |
Title | An introduction to statistical learning: with applications in R |
250 ## - EDITION STATEMENT | |
Edition statement | 2nd |
260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
Place of publication, distribution, etc. | New York: |
Name of publisher, distributor, etc. | Springer, |
Date of publication, distribution, etc. | 2021 |
300 ## - PHYSICAL DESCRIPTION | |
Extent | xx, 608p.: 6x11x2; Paperback |
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, deep learning, survival analysis, multiple testing, 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. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Source of heading or term | Mathematics |
Topical term or geographic name entry element | Mathematics; R Computer program language; Mathematical statistics; Linear regression; Resampling methods |
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 | Books |
Suppress in OPAC | No |
Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Total checkouts | Full call number | Barcode | Date last seen | Price effective from | Koha item type | Public note | Date due | Date last checked out |
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Dewey Decimal Classification | Central Library NIT Goa | Central Library NIT Goa | General stacks | 11/12/2024 | Atlantic Publishers & Distributors (P) Ltd. | 5645.00 | 519.5 JAM/INT | 10826 | 11/12/2024 | 11/12/2024 | Reference | Reference Book Rack number 38(B) | |||||||
Dewey Decimal Classification | Central Library NIT Goa | Central Library NIT Goa | General stacks | 11/12/2024 | Atlantic Publishers & Distributors (P) Ltd. | 5645.00 | 519.5 JAM/INT | 10827 | 11/12/2024 | 11/12/2024 | Books | Book Rack number 11(A) | |||||||
Dewey Decimal Classification | Central Library NIT Goa | Central Library NIT Goa | General stacks | 11/12/2024 | Atlantic Publishers & Distributors (P) Ltd. | 5645.00 | 1 | 519.5 JAM/INT | 10828 | 24/04/2025 | 11/12/2024 | Books | Book Rack number 11(A) | 23/07/2025 | 24/04/2025 |