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.
About the Author
Yeliz Karaca, University of Massachusetts, Worcester MA, USA; Carlo Cattani, University of Tuscia, Viterbo, Italy.
Book Information
ISBN 9783110496352
Author Yeliz Karaca
Format Paperback
Page Count 395
Imprint De Gruyter
Publisher De Gruyter
Weight(grams) 753g