
Computational Methods for Data Analysis
De Gruyter (Publisher)
1st Edition
Published on 17. December 2018
Book
Paperback/Softback
XII, 383 pages
978-3-11-049635-2 (ISBN)
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.
More details
Series
Language
English
Place of publication
Berlin/Boston
Germany
Target group
College/higher education
US School Grade: From College Freshman to College Senior
Product notice
Klappenbroschur
Illustrations
40 farbige Abbildungen, 40 s/w Abbildungen
220 b/w and 40 col. ill.
Dimensions
Height: 240 mm
Width: 170 mm
Thickness: 22 mm
Weight
670 gr
ISBN-13
978-3-11-049635-2 (9783110496352)
Schweitzer Classification
Other editions
Additional editions

Yeliz Karaca | Carlo Cattani
Computational Methods for Data Analysis
E-Book
12/2018
1st Edition
De Gruyter
€94.95
Available for download

Yeliz Karaca | Carlo Cattani
Computational Methods for Data Analysis
E-Book
12/2018
1st Edition
De Gruyter
€94.95
Available for download
Persons
Yeliz Karaca, University of Massachusetts, Worcester MA, USA; Carlo Cattani , University of Tuscia, Viterbo, Italy.