Analysis of Multivariate and High-Dimensional Data
Book by Inge Koch
'Big data' poses challenges that require both classical multivariate methods and contemporary techniques from machine learning and engineering. This modern text equips you for the new world - integrating the old and the new, fusing theory and... Google Books
Originally published: November 30, 2013
Author: Inge Koch
Cambridge Core - Genomics, Bioinformatics and Systems Biology - Analysis of Multivariate and High-Dimensional Data.
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Book Description. This modern approach integrates classical and contemporary methods, fusing theory and practice and bridging the gap to statistical learning.
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This series of high-quality upper-division textbooks and expository monographs covers all aspects of stochastic applicable mathematics. The topics range from ...
Extensive examples showcase the strengths and limitations of different methods with small classical data, data from medicine, biology, marketing and finance, ...
A major advantage and important feature of this book is that it illustrates the interconnection of various techniques, such as the connection between ...
The book offers extended examples using contemporary data, including high dimensional functional data sets. Topics include multidimensional data, principal ...
Description. "Big data" poses challenges that require both classical multivariate methods and contemporary techniques from machine learning and engineering.
Nov 12, 2014 · This is a delightful book. Inge Koch has written a modern, handsome, beautifully printed and formatted multivariate data analysis textbook.
PDF | On Apr 1, 2015, Ravindra Khattree published Analysis of Multivariate and High-Dimensional Data | Find, read and cite all the research you need on ...
Extensive examples showcase the strengths and limitations of different methods with small classical data, data from medicine, biology, marketing and finance, ...