An Introduction to Statistical Learning With Applications in R

An Introduction to Statistical Learning: with Applications in R (Repost)  eBooks & eLearning

Posted by insetes at Oct. 17, 2017
An Introduction to Statistical Learning: with Applications in R (Repost)

An Introduction to Statistical Learning: with Applications in R By Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani
2014 | 426 Pages | ISBN: 1461471370 | PDF | 11 MB

An Introduction to Statistical Learning: with Applications in R  eBooks & eLearning

Posted by tarantoga at Feb. 15, 2017
An Introduction to Statistical Learning: with Applications in R

Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani, "An Introduction to Statistical Learning: with Applications in R"
ISBN: 1461471370 | 2013 | EPUB | 426 pages | 4 MB

An Introduction to Statistical Learning: with Applications in R [Repost]  eBooks & eLearning

Posted by ChrisRedfield at Jan. 22, 2017
An Introduction to Statistical Learning: with Applications in R [Repost]

Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani - An Introduction to Statistical Learning: with Applications in R
Published: 2013-08-12 | ISBN: 1461471370 | PDF | 426 pages | 10.71 MB

An Introduction to Statistical Learning: with Applications in R (Repost)  eBooks & eLearning

Posted by enmoys at Nov. 1, 2014
An Introduction to Statistical Learning: with Applications in R (Repost)

An Introduction to Statistical Learning: with Applications in R By Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani
2014 | 426 Pages | ISBN: 1461471370 | PDF | 11 MB

An Introduction to Statistical Learning: with Applications in R (Repost)  eBooks & eLearning

Posted by advisors at Sept. 3, 2014
An Introduction to Statistical Learning: with Applications in R (Repost)

An Introduction to Statistical Learning: with Applications in R By Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani
2014 | 426 Pages | ISBN: 1461471370 | PDF | 11 MB

An Introduction to Statistical Learning: with Applications in R  eBooks & eLearning

Posted by bookwyrm at June 29, 2014
An Introduction to Statistical Learning: with Applications in R

An Introduction to Statistical Learning: with Applications in R By Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani
2014 | 426 Pages | ISBN: 1461471370 | PDF | 11 MB

Introduction to Machine Learning with Applications in Information Security  eBooks & eLearning

Posted by nebulae at Oct. 22, 2017
Introduction to Machine Learning with Applications in Information Security

Mark Stamp, "Introduction to Machine Learning with Applications in Information Security"
English | ISBN: 1138626783 | 2017 | 364 pages | PDF | 8 MB
An Introduction to Audio Content Analysis: Applications in Signal Processing and Music Informatics (repost)

Alexander Lerch "An Introduction to Audio Content Analysis: Applications in Signal Processing and Music Informatics"
2012 | ISBN: 111826682X | English | 272 pages | PDF | 6.5 MB
An Introduction to Mathematical Finance with Applications: Understanding and Building Financial Intuition (Repost)

An Introduction to Mathematical Finance with Applications: Understanding and Building Financial Intuition By Arlie O. Petters, Xiaoying Dong
English | EPUB | 2016 | 483 Pages | ISBN : 1493937812 | 6 MB

This textbook aims to fill the gap between those that offer a theoretical treatment without many applications and those that present and apply formulas without appropriately deriving them. The balance achieved will give readers a fundamental understanding of key financial ideas and tools that form the basis for building realistic models, including those that may become proprietary.
An Introduction to Mathematical Finance with Applications: Understanding and Building Financial Intuition (Repost)

An Introduction to Mathematical Finance with Applications: Understanding and Building Financial Intuition By Arlie O. Petters, Xiaoying Dong
English | EPUB | 2016 | 483 Pages | ISBN : 1493937812 | 6 MB

This textbook aims to fill the gap between those that offer a theoretical treatment without many applications and those that present and apply formulas without appropriately deriving them. The balance achieved will give readers a fundamental understanding of key financial ideas and tools that form the basis for building realistic models, including those that may become proprietary.