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

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
Multivariate Nonparametric Regression and Visualization: With R and Applications to Finance (repost)

Multivariate Nonparametric Regression and Visualization: With R and Applications to Finance by Jussi Klemelä
English | 2014 | ISBN: 0470384425 | ISBN-13: 9780470384428 | 396 pages | PDF | 19,8 MB
Data Mining for Business Analytics: Concepts, Techniques, and Applications with JMP Pro

Galit Shmueli, Peter C. Bruce, "Data Mining for Business Analytics: Concepts, Techniques, and Applications with JMP Pro"
2016 | ISBN-10: 1118877438 | 464 pages | PDF | 128 MB
Efficient Learning Machines: Theories, Concepts, and Applications for Engineers and System Designers (Repost)

Mariette Awad, Rahul Khanna, "Efficient Learning Machines: Theories, Concepts, and Applications for Engineers and System Designers"
2015 | ISBN: 1430259892 | English | 268 pages | True PDF | 8 MB