An Introduction to Statistical Learning with Applications in R
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
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Main Authors: | , , , |
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Format: | Book |
Language: | English |
Published: |
New York
Springer
2021
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Edition: | Print Book, English, 2021 |
Series: | Springer texts in statistics
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Subjects: | |
Online Access: | Click Here to View Status and Holdings. |
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100 | 1 | # | |a James, Gareth |e author |
245 | 0 | 0 | |a An Introduction to Statistical Learning |b with Applications in R |c Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani |
250 | # | # | |a Print Book, English, 2021 |b Second edition |
264 | # | 1 | |a New York |b Springer |c 2021 |
264 | # | 4 | |c ©2021 |
300 | # | # | |a xv, 607 pages |b illustrations (some color) |c 24 cm |
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500 | # | # | |a Includes index |
520 | # | # | |a 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 |
526 | 0 | # | |a Master in Science of Data Science - CS779 |b Statistics and Mathematics |5 Universiti Teknologi MARA |
546 | # | # | |a In English |
650 | # | 0 | |a Mathematical statistics |x Problems, exercises, etc |
650 | # | 0 | |a Mathematical models |x Problems, exercises, etc |
650 | # | 0 | |a R (Computer program language) |
700 | 1 | # | |a Witten, Daniela |e author |
700 | 1 | # | |a Hastie, Trevor |e author |
700 | 1 | # | |a Tibshirani, Robert |e author |
830 | # | 0 | |a Springer texts in statistics |
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