Statistical Learning Regression

Statistical Learning from a Regression Perspective, Second Edition  eBooks & eLearning

Posted by Underaglassmoon at Oct. 31, 2016
Statistical Learning from a Regression Perspective, Second Edition

Statistical Learning from a Regression Perspective, Second Edition
Springer | Statistics Text | November 17, 2016 | ISBN-10: 3319440470 | 347 pages | pdf | 7.9 mb

Authors: Berk, Richard A.
Offers accessible coverage on statistical learning procedures for practitioners
Examines a wide array of real applications
Presents intuitive explanations and visual representation of underlying statistical concepts
Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning (repost)

Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning by Alan J. Izenman
English | 2008-08-28 | ISBN: 0387781889 | 756 pages | PDF | 10,7 mb

Remarkable advances in computation and data storage and the ready availability of huge data sets have been the keys to the growth of the new disciplines of data mining and machine learning, while the enormous success of the Human Genome Project has opened up the field of bioinformatics.
Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning (repost)

Alan J. Izenman, "Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning"
English | 2008-08-28 | ISBN: 0387781889 | 756 pages | PDF | 10,7 mb

Remarkable advances in computation and data storage and the ready availability of huge data sets have been the keys to the growth of the new disciplines of data mining and machine learning, while the enormous success of the Human Genome Project has opened up the field of bioinformatics.
Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning (Repost)

Alan J. Izenman, "Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning"
English | 2008-08-28 | ISBN: 0387781889 | 756 pages | PDF | 10.8 mb
Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning

Alan J. Izenman, "Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning"
Springer | 2008 | ISBN: 0387781889 | 734 pages | PDF | 14,7 MB

The Nature of Statistical Learning Theory [Repost]  eBooks & eLearning

Posted by tanas.olesya at July 8, 2016
The Nature of Statistical Learning Theory  [Repost]

The Nature of Statistical Learning Theory by Vladimir Vapnik
English | 19 Nov. 1999 | ISBN: 0387987800 | 334 Pages | PDF | 10 MB

The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization.
The Elements of Statistical Learning: Data Mining, Inference, and Prediction

Trevor Hastie, Robert Tibshirani, Jerome Friedman, "The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition"
ISBN: 0387848576 | 2009 | EPUB | 745 pages | 13 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.
The Nature of Statistical Learning Theory by Vladimir Vapnik [Repost]

The Nature of Statistical Learning Theory (Information Science and Statistics) by Vladimir Vapnik
English | Nov 19, 1999 | ISBN: 0387987800 | 334 Pages | PDF | 10 MB

The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. It considers learning as a general problem of function estimation based on empirical data.

Statistical Learning and Data Sciences  eBooks & eLearning

Posted by andr1078 at May 14, 2015
Statistical Learning and Data Sciences

Alexander Gammerman, Vladimir Vovk, Harris Papadopoulos "Statistical Learning and Data Sciences"
Publisher: Springer | English | 2015 | ISBN:3319170902 | 444 pages | PDF | 15.4 MB

This book constitutes the refereed proceedings of the Third International Symposium on Statistical Learning and Data Sciences, SLDS 2015, held in Egham, Surrey, UK, April 2015.