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| book details |
Computational Methods for Data Analysis
By (author)
Yeliz Karaca
, By (author)
Carlo Cattani
This book is currently unavailable. Enquire to check if we can source a used copy
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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.
| product details |
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 |
978-3-1104-9360-3
Readership Age |
BISAC |
mathematics / applied
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Broken Country: AMAZON'S BOOK OF THE YEAR - THE MILLION-COPY BESTSELLER
Clare Leslie Hall
Paperback / softback
320 pages
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An epic love story with the pulse of a thriller that asks: what would you risk for a second chance at first love?
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Virginia Evans
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288 pages
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Theory & Practice
Michelle de Kretser
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Exiles: Times book of the month 'Stanley Kubrick meets MR James'
Mason Coile
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224 pages
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A terrifying locked-room mystery set in a remote outpost on Mars.
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