Classification And Regression

Data Mining with Python: Implementing Classification and Regression  eBooks & eLearning

Posted by FenixN at Nov. 23, 2016
Data Mining with Python: Implementing Classification and Regression

Data Mining with Python: Implementing Classification and Regression
HDRips | MP4/AVC, ~58 kb/s | 1280x720 | Duration: 02:03:25 | English: AAC, 128 kb/s (2 ch) | 297 MB
Genre: Development / Programming

A practical guide that will give you hands-on experience with the popular Python data mining algorithms.
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

Twin Support Vector Machines: Models, Extensions and Applications  eBooks & eLearning

Posted by Jeembo at May 5, 2017
Twin Support Vector Machines: Models, Extensions and Applications

Twin Support Vector Machines: Models, Extensions and Applications by Jayadeva, Reshma Khemchandani, Suresh Chandra
English | 2017 | ISBN: 3319461842 | 211 Pages | PDF | 6.9 MB

This book provides a systematic and focused study of the various aspects of twin support vector machines (TWSVM) and related developments for classification and regression.

MACHINE LEARNING with MATLAB. SUPERVISED LEARNING and CLASSIFICATION  eBooks & eLearning

Posted by naag at April 12, 2017
MACHINE LEARNING with MATLAB. SUPERVISED LEARNING and CLASSIFICATION

MACHINE LEARNING with MATLAB. SUPERVISED LEARNING and CLASSIFICATION
2017 | English | ASIN: B06Y6FJG2K | 1350 pages | PDF + EPUB (conv) | 13.6 Mb

NEURAL NETWORKS using MATLAB. FUNCTION APPROXIMATION and REGRESSION  eBooks & eLearning

Posted by naag at April 9, 2017
NEURAL NETWORKS using MATLAB. FUNCTION APPROXIMATION and REGRESSION

NEURAL NETWORKS using MATLAB. FUNCTION APPROXIMATION and REGRESSION
2017 | English | ISBN-10: 1543008569 | 234 pages | EPUB (conv) | 2.44 Mb

NEURAL NETWORKS using MATLAB. FUNCTION APPROXIMATION and REGRESSION  eBooks & eLearning

Posted by AlenMiler at Feb. 9, 2017
NEURAL NETWORKS using MATLAB. FUNCTION APPROXIMATION and REGRESSION

NEURAL NETWORKS using MATLAB. FUNCTION APPROXIMATION and REGRESSION by K. Taylor
English | 7 Feb. 2017 | ASIN: B06VSC445V | 155 Pages | PDF (conv) | 5.48 MB

MATLAB has the tool Neural Network Toolbox that provides algorithms, functions, and apps to create, train, visualize, and simulate neural networks.
Solutions Manual to Accompany Introduction to Linear Regression Analysis, 5 edition (repost)

Solutions Manual to Accompany Introduction to Linear Regression Analysis, 5 edition by Ann G. Ryan, Douglas C. Montgomery, Elizabeth A. Peck and G. Geoffrey Vining
English | 2013 | ISBN: 1118471466 | ISBN-13: 9781118471463 | 164 pages | PDF | 45,3 MB