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
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

Radar for Indoor Monitoring: Detection, Classification, and Assessment  eBooks & eLearning

Posted by arundhati at Feb. 4, 2018
Radar for Indoor Monitoring: Detection, Classification, and Assessment

Moeness Amin, "Radar for Indoor Monitoring: Detection, Classification, and Assessment"
2017 | ISBN-10: 1498781985, 1138746096 | 406 pages | EPUB | 18 MB

Applied Statistics Using SPSS, STATISTICA and MATLAB  eBooks & eLearning

Posted by AvaxGenius at Dec. 30, 2017
Applied Statistics Using SPSS, STATISTICA and MATLAB

Applied Statistics Using SPSS, STATISTICA and MATLAB By Joaquim P. Marques de Sá
English | PDF | 2003 | 466 Pages | ISBN : 3540011560 | 39.54 MB

This books is intended for students, professionals and research workers who need to apply statistical analysis to a large variety of practical problems using SPSS, MATLAB and STATISTICA. The book provides a comprehensive coverage of the main statistical analysis topics important for practical applications such as data description, statistical inference, classification and regression, factor analysis, survival data and directional statistics.

Advanced Predictive Techniques with Scikit-Learn and TensorFlow  eBooks & eLearning

Posted by naag at Dec. 8, 2017
Advanced Predictive Techniques with Scikit-Learn and TensorFlow

Advanced Predictive Techniques with Scikit-Learn and TensorFlow
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3 Hours 44M | 778 MB
Genre: eLearning | Language: English

Ensemble methods offer a powerful way to improve prediction accuracy by combining in a clever way predictions from many individual predictors. In this course, you will learn how to use ensemble methods to improve accuracy in classification and regression problems.

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