Fr. 114.00

Computational Methods for Data Analysis

English · Paperback / Softback

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Description

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This graduate text covers a variety of mathematical and statistical tools for the analysis of big data coming from biology, medicine and economics. Neural networks, Markov chains, tools from statistical physics and wavelet analysis are used to develop efficient computational algorithms, which are then used for the processing of real-life data using Matlab.

About the author










Yeliz Karaca, University of Massachusetts, Worcester MA, USA; Carlo Cattani, University of Tuscia, Viterbo, Italy.

Product details

Authors Yeliz Caraca, Carlo Cattani, Yeliz Karaca
Publisher De Gruyter
 
Languages English
Product format Paperback / Softback
Released 21.12.2018
 
EAN 9783110496352
ISBN 978-3-11-049635-2
No. of pages 383
Dimensions 171 mm x 23 mm x 240 mm
Weight 740 g
Illustrations 220 b/w and 40 col. ill.
Series De Gruyter Textbook
De Gruyter STEM
Subject Natural sciences, medicine, IT, technology > Mathematics > Miscellaneous

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