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Computational Methods for Data Analysis

By (author) Yeliz Karaca, By (author) Carlo Cattani





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| book 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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Normally shipped | Enquiries only
Publisher | De Gruyter
Published date | 17 Dec 2018
Language |
Format | Digital (delivered electronically)
Pages | 395
Dimensions | 0 x 0 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-3-1104-9636-9
Readership Age |
BISAC | mathematics / applied


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