Non-Fiction Books:

Computational Methods for Data Analysis

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Paperback / softback
$151.99
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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.

Author Biography:

Yeliz Karaca, University of Massachusetts, Worcester MA, USA; Carlo Cattani, University of Tuscia, Viterbo, Italy.
Release date Australia
December 17th, 2018
Audiences
  • Tertiary Education (US: College)
  • Tertiary Education (US: College)
Illustrations
220 Illustrations, black and white; 40 Illustrations, color
Pages
395
Dimensions
170x244x21
ISBN-13
9783110496352
Product ID
28216052

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