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 [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 Jan. 8, 2018
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 AvaxGenius at Dec. 27, 2017
An Introduction to Machine Learning

An Introduction to Machine Learning By Miroslav Kubat
English | EPUB | 2015 | 291 Pages | ISBN : 3319200097 | 2.66 MB

This book presents basic ideas of machine learning in a way that is easy to understand, by providing hands-on practical advice, using simple examples, and motivating students with discussions of interesting applications. The main topics include Bayesian classifiers, nearest-neighbor classifiers, linear and polynomial classifiers, decision trees, neural networks, and support vector machines.

An Introduction to Machine Learning Models in Production  eBooks & eLearning

Posted by naag at Dec. 14, 2017
An Introduction to Machine Learning Models in Production

An Introduction to Machine Learning Models in Production
MP4 | Video: AVC 1920x1080 | Audio: AAC 48KHz 2ch | Duration: 39M | 1.38 GB
Genre: eLearning | Language: English

An Introduction to Machine Learning, Second Edition  eBooks & eLearning

Posted by AvaxGenius at Dec. 3, 2017
An Introduction to Machine Learning, Second Edition

An Introduction to Machine Learning, Second Edition By Miroslav Kubat
English | EPUB | 2017 | 348 Pages | ISBN : 3319639129 | 3.13 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. The main topics include Bayesian classifiers, nearest-neighbor classifiers, linear and polynomial classifiers, decision trees, neural networks, and support vector machines.