Druck auf Anfrage Neuware - Printed after ordering - 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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Bibliographic Details

Title: Computational Methods for Data Analysis
Publisher: De Gruyter
Publication Date: 2018
Language: English
ISBN 10: 3110496356
ISBN 13: 9783110496352
Binding: Taschenbuch
Condition: Neu
Dimensions: 240 millimeters width by 170 millimeters height by 22 millimeters depth
Weight: 670 grams

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Synopsis

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.

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