Computational methods for data analysis
Author(s)
Bibliographic Information
Computational methods for data analysis
（De Gruyter Stem）
De Gruyter, c2019
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
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.
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