English
Deutsch
Français
简体中文
繁體中文
Categories
Study
Novel
Nonfiction
Health
Tutorial
Entertainment
Business
Magazine
Arts & Design
Audiobooks & Video Training
Cultures & Languages
Family & Home
Law & Politics
Lyrics & Music
Software Related
eBook Torrents
Uncategorized
Share With Friends
Archive by Date
2012-08-05
2012-08-04
2012-08-03
2012-08-02
2012-08-01
2012-07-31
2012-07-30
2012-07-29
2012-07-28
Search Tag
Newest
Methods for Finding Zeros in Polynomials
Lectures on Stochastic Flows and Applications
Educational Psychology by Edward L. Thorndike
The Last Days of Tolstoy by V. G. Chertkov
Globalization and Responsibility
Lectures on Siegel Modular Forms and Representation by Quadratic Forms
Lectures on Topics In One-Parameter Bifurcation Problems
History of the Incas by Pedro Sarmiento de Gamboa
Linear Algebra: Theorems and Applications
Lectures on Stochastic Differential Equations and Malliavin Calculus
A Short Biographical Dictionary of English Literature
Lectures on Sieve Methods and Prime Number Theory
Dollars and Sense by William Crosbie Hunter
The Theory of the Theatre by Clayton Hamilton
The Mathematics of Investment
Occupiers of Wall Street: Losers or Game Changers
The Solution of the Pyramid Problem
Lectures on Moduli of Curves
Walden by Henry David Thoreau
Useful Links
Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning
Posted on 2010-03-15
|  |
More 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. These exciting developments, which led to the introduction of many innovative statistical tools for high-dimensional data analysis, are described here in detail. The author takes a broad perspective; for the first time in a book on multivariate analysis, nonlinear methods are discussed in detail as well as linear methods. Techniques covered range from traditional multivariate methods, such as multiple regression, principal components, canonical variates, linear discriminant analysis, factor analysis, clustering, multidimensional scaling, and correspondence analysis, to the newer methods of density estimation, projection pursuit, neural networks, multivariate reduced-rank regression, nonlinear manifold learning, bagging, boosting, random forests, independent component analysis, support vector machines, and classification and regression trees. Another unique feature of this book is the discussion of database management systems. Rs link
Rating:
2.5 out of 5 by Book123 |
| Download Links | |
| Server | Status |
|---|---|
| Direct Download Link 1 | Alive |
| Direct Download Link 2 | Alive |
| Download Link (DOWNLOAD) | Alive |
| Download Link (Download Link 1) | Alive |
|
Buy This Book at Best Price >> | |
Related Articles
 | Technical Machine Learning, Neural and Statistical Classification (Ellis Horwood Series in Artificial Intelligence) Title: Machine Learning, Neural and Statistical Classification (Ellis Horwood Series in Artificial IntelligPassword: No passwordDescription:ISBN: 013106360XTitle: Machine Learning, Neural and Statistical Classification (Ellis Horwood Series ... |
 | Programming Machine Learning, Neural and Statistical Classification Machine Learning, Neural and Statistical Classification289 pages | Publisher: Prentice Hall (July 1994) | English | ISBN-10: 013106360X | ISBN-13: 978-0131063600 | PDF | 1.3 MBThe aim of this book is to provide an up-to-date review of diff ... |
| Tutorial Machine Learning, Neural and Statistical Classification (Ellis Horwood Series in Artificial Intelligence)
|
 | Science/Engineering Machine Learning, Neural and Statistical Classification (Repost) Machine Learning, Neural and Statistical Classification289 pages | Publisher: Prentice Hall (July 1994) | English | ISBN-10: 013106360X | PDF | 1.3 MBThe aim of this book is to provide an up-to-date review of different approaches to classif ... |
 | Science/Engineering Statistical Learning from a Regression Perspective (repost) Richard A. Berk, "Statistical Learning from a Regression Perspective " Springer | 2008 | ISBN: 0387775005 | PDF | 360 pages | 3,9 MB Statistical Learning from a Regression Perspective considers statistical learning applications when int ... |
 | Science/Engineering Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning by Izenman Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning (Springer Texts in Statistics) by Alan Julian IzenmanPublisher: Springer | August 28, 2008 | ISBN: 0387781889 | Pages: 734 | PDF | 22.33 MBRemarka ... |
Comments (0)
