1st edition
Paperback (17 Dec 2018)
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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.
| ISBN: | 9783110496352 |
| Publisher: | De Gruyter |
| Imprint: | De Gruyter |
| Pub date: | 17 Dec 2018 |
| Edition: | 1st edition |
| Language: | English |
| Number of pages: | 395 |
| Weight: | 753g |
| Height: | 240mm |
| Width: | 170mm |
| Spine width: | 21mm |
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