Introduction to Statistical Machine Learning

Introduction to Statistical Relational Learning (Repost)  eBooks & eLearning

Posted by step778 at Aug. 18, 2016
Introduction to Statistical Relational Learning (Repost)

Lise Getoor, Ben Taskar, "Introduction to Statistical Relational Learning"
2007 | pages: 591 | ISBN: 0262072882 | PDF | 4,2 mb

Introduction to Statistical Relational Learning  eBooks & eLearning

Posted by step778 at June 8, 2015
Introduction to Statistical Relational Learning

Lise Getoor, Ben Taskar, "Introduction to Statistical Relational Learning"
2007 | pages: 602 | ISBN: 0262072882 | PDF | 4,5 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
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 Elementary Introduction to Statistical Learning Theory  eBooks & eLearning

Posted by nebulae at Dec. 30, 2014
An Elementary Introduction to Statistical Learning Theory

Sanjeev Kulkarni and Gilbert Harman, "An Elementary Introduction to Statistical Learning Theory"
English | ISBN: 0470641835 | 2011 | 234 pages | PDF | 3 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

Machine Learning for the Web  eBooks & eLearning

Posted by AlenMiler at April 24, 2017
Machine Learning for the Web

Machine Learning for the Web by Andrea Isoni
English | 29 July 2016 | ASIN: B01BVHNOBM | 298 Pages | AZW3 | 12.99 MB

R Machine Learning Essentials  eBooks & eLearning

Posted by readerXXI at April 3, 2017
R Machine Learning Essentials

R Machine Learning Essentials
by Michele Usuelli
English | 2014 | ISBN: 178398774X | 215 Pages | True PDF | 2.56 MB

Gain quick access to the machine learning concepts and practical applications using the R development environment.

An Introduction to Statistical Methods and Data Analysis (7th edition)  eBooks & eLearning

Posted by arundhati at March 29, 2017
An Introduction to Statistical Methods and Data Analysis (7th edition)

R. Ott, Micheal Longnecker, "An Introduction to Statistical Methods and Data Analysis (7th edition)"
2015 | ISBN-10: 1305269470 | 1296 pages | PDF | 43 MB

An Introduction to Statistical Concepts: Third Edition [Repost]  eBooks & eLearning

Posted by hill0 at Feb. 3, 2017
An Introduction to Statistical Concepts: Third Edition [Repost]

An Introduction to Statistical Concepts: Third Edition by Richard G Lomax
English | 4 Apr. 2012 | ISBN: 041588005X | 840 Pages | PDF | 34.39 MB

This comprehensive, flexible text is used in both one- and two-semester courses to review introductory through intermediate statistics. Instructors select the topics that are most appropriate for their course. Its conceptual approach helps students more easily understand the concepts and interpret SPSS and research results. Key concepts are simply stated and occasionally reintroduced and related to one another for reinforcement. Numerous examples demonstrate their relevance.