Computational Methods for Data Analysis - Yeliz Karaca,Carlo Cattani
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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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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 Information
| Author | Yeliz Karaca, Carlo Cattani |
|---|---|
| Publisher | De Gruyter |
| Series | De Gruyter STEM |
| Release year | 2018 |
| Cover type | Softcover |
| EAN | 9783110496352 |