Elementary Introduction 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 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

Neural Networks and Statistical Learning  eBooks & eLearning

Posted by nebulae at Jan. 18, 2014
Neural Networks and Statistical Learning

Ke-Lin Du, M. N. S. Swamy, "Neural Networks and Statistical Learning"
English | ISBN: 144715570X | 2014 | 850 pages | PDF | 13 MB

Applications of Statistical Learning with Python  eBooks & eLearning

Posted by naag at May 30, 2018
Applications of Statistical Learning with Python

Applications of Statistical Learning with Python
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hour 44M | 505 MB
Genre: eLearning | Language: English

Elementary Introduction to the Lebesgue Integral  eBooks & eLearning

Posted by arundhati at May 14, 2018
Elementary Introduction to the Lebesgue Integral

Steven G. Krantz, "Elementary Introduction to the Lebesgue Integral (draft)"
2018 | ISBN-10: 1138482765 | 196 pages | PDF | 1 MB

Classification, (Big) Data Analysis and Statistical Learning  eBooks & eLearning

Posted by AvaxGenius at Feb. 22, 2018
Classification, (Big) Data Analysis and Statistical Learning

Classification, (Big) Data Analysis and Statistical Learning By Francesco Mola
English | PDF,EPUB | 2018 | 243 Pages | ISBN : 3319557076 | 10.13 MB

This edited book focuses on the latest developments in classification, statistical learning, data analysis and related areas of data science, including statistical analysis of large datasets, big data analytics, time series clustering, integration of data from different sources, as well as social networks. It covers both methodological aspects as well as applications to a wide range of areas such as economics, marketing, education, social sciences, medicine, environmental sciences and the pharmaceutical industry.

The Knot Book: An Elementary Introduction to the Mathematical Theory of Knots  eBooks & eLearning

Posted by arundhati at Jan. 15, 2018
The Knot Book: An Elementary Introduction to the Mathematical Theory of Knots

Colin Adams, "The Knot Book: An Elementary Introduction to the Mathematical Theory of Knots"
2004 | ISBN-10: 0821836781 | 307 pages | PDF | 56 MB

Statistical Learning from a Regression Perspective (Repost)  eBooks & eLearning

Posted by AvaxGenius at Dec. 7, 2017
Statistical Learning from a Regression Perspective (Repost)

Statistical Learning from a Regression Perspective By Richard A. Berk
English | PDF | 2008 | 373 Pages | ISBN :0387775005 | 4.46 MB

Statistical Learning from a Regression Perspective considers statistical learning applications when interest centers on the conditional distribution of the response variable, given a set of predictors, and when it is important to characterize how the predictors are related to the response. As a first approximation, this is can be seen as an extension of nonparametric regression.

Statistical Learning from a Regression Perspective, 2nd Edition  eBooks & eLearning

Posted by First1 at Oct. 26, 2017
Statistical Learning from a Regression Perspective, 2nd Edition

Statistical Learning from a Regression Perspective, 2nd Edition by Richard A. Berk
English | 2016 | ISBN: 3319440470 | 347 Pages | EPUB | 3.51 MB

This textbook considers statistical learning applications when interest centers on the conditional distribution of the response variable, given a set of predictors, and when it is important to characterize how the predictors are related to the response.

Reliable Reasoning: Induction and Statistical Learning Theory  eBooks & eLearning

Posted by step778 at Oct. 9, 2017
Reliable Reasoning: Induction and Statistical Learning Theory

Gilbert Harman, Sanjeev Kulkarni, "Reliable Reasoning: Induction and Statistical Learning Theory"
2007 | pages: 119 | ISBN: 0262083604 | PDF | 0,8 mb