An Introduction to Statistical Learning

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
Machine Learning and Data Science: An Introduction to Statistical Learning Methods with R

Machine Learning and Data Science: An Introduction to Statistical Learning Methods with R by Daniel D. Gutierrez
English | 18 Sept. 2015 | ISBN: 1634620968 | 282 Pages | True AZW3 (Kindle)/(EPUB/PDF conv) | 15.44 MB

A practitioner's tools have a direct impact on the success of his or her work. This book will provide the data scientist with the tools and techniques required to excel with statistical learning methods in the areas of data access, data munging, exploratory data analysis, supervised machine learning, unsupervised machine learning and model evaluation.

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

Beginning R: An Introduction to Statistical Programming (2nd edition) (Repost)  eBooks & eLearning

Posted by insetes at Oct. 21, 2017
Beginning R: An Introduction to Statistical Programming (2nd edition) (Repost)

Beginning R: An Introduction to Statistical Programming (2nd edition) By Larry Pace, Joshua Wiley
2015 | 356 Pages | ISBN: 1484203747 | PDF | 11 MB

An Introduction to Machine Learning  eBooks & eLearning

Posted by hill0 at Sept. 4, 2017
An Introduction to Machine Learning

An Introduction to Machine Learning by Miroslav Kubat
English | 2 Oct. 2017 | ISBN: 3319639129 | 364 Pages | PDF | 4.51 MB

This textbook presents fundamental machine learning concepts in an easy to understand manner by providing practical advice, using straightforward examples, and offering engaging discussions of relevant applications.
An Introduction to Statistical Analysis in Research: With Applications in the Biological and Life Sciences

Kathleen F. Weaver and Vanessa Morales, "An Introduction to Statistical Analysis in Research: With Applications in the Biological and Life Sciences"
English | ISBN: 1119299683 | 2017 | 608 pages | PDF | 40 MB