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An Introduction to Statistical Learning
With Applications in R
by Gareth Michael James, Daniela Witten, Trevor Hastie, Robert Tibshirani
607 Pages, Published 2021 by Springer Nature
ISBN-13: 978-1-07-161418-1, ISBN: 1-07-161418-5






The Elements of Statistical Learning
Data Mining, Inference, and Prediction
by Trevor Hastie, Robert Tibshirani, Jerome Friedman
536 Pages, Published 2014 by Springer
ISBN-13: 978-1-4899-0518-5, ISBN: 1-4899-0518-9






Springer Series in Statistics Ser.
The Elements of Statistical Learning : Data Mining, Inference, and Prediction
by Trevor Hastie, Robert Tibshirani, Jerome Friedman
536 Pages, Published 2013 by Springer Science & Business Media
ISBN-13: 978-0-387-21606-5, ISBN: 0-387-21606-5






Springer Texts in Statistics Ser.
An Introduction to Statistical Learning : With Applications in R
by Gareth James, Trevor Hastie, Robert Tibshirani, Daniela Witten
426 Pages, Published 2013 by Springer Science & Business Media
ISBN-13: 978-1-4614-7138-7, ISBN: 1-4614-7138-9






The Science of Bradley Efron
Selected Papers
by Carl N. Morris, Robert Tibshirani
Published 2008 by Springer
ISBN-13: 978-0-387-75692-9, ISBN: 0-387-75692-2






Chapman and Hall/CRC Monographs on Statistics and Applied Probability
Statistical Learning with Sparsity : The Lasso and Generalizations
by Trevor Hastie, Robert Tibshirani, Martin Wainwright
Digital, 367 Pages, Published 2015 by Chapman & Hall/Crc
ISBN-13: 978-1-4987-1217-0, ISBN: 1-4987-1217-7






The Elements of Statistical Learning
Data Mining, Inference, and Prediction, Second Edition
by Trevor Hastie, Robert Tibshirani, Jerome Friedman
Published 2009
ISBN-13: 978-1-282-82726-4, ISBN: 1-282-82726-X

All Authors

Robert Tibshirani

Trevor Hastie

Jerome Friedman

Daniela Witten

Gareth Michael James

Gareth James

Carl Morris

Martin Wainwright


All Years

2021

2015

2014

2013

2009

2008




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