Computational Methods for Data Analysis Paperback / softback
by Yeliz Karaca, Carlo Cattani
Part of the De Gruyter Textbook series
Paperback / softback
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.
Information
-
Out of stock
- Format:Paperback / softback
- Pages:395 pages, 220 Illustrations, black and white; 40 Illustrations, color
- Publisher:De Gruyter
- Publication Date:17/12/2018
- Category:
- ISBN:9783110496352
Other Formats
- EPUB from £67.05
- PDF from £55.88
Information
-
Out of stock
- Format:Paperback / softback
- Pages:395 pages, 220 Illustrations, black and white; 40 Illustrations, color
- Publisher:De Gruyter
- Publication Date:17/12/2018
- Category:
- ISBN:9783110496352