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- Author: Yeliz Karaca
- Publisher: De Gruyter
- Year: 2018
- Pages: 312
- ISBN-10: 3110496356
- ISBN-13: 9783110496352
- Format: 17 x 24.4 x 2.1 cm, minkšti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
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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.
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- Author: Yeliz Karaca
- Publisher: De Gruyter
- Year: 2018
- Pages: 312
- ISBN-10: 3110496356
- ISBN-13: 9783110496352
- Format: 17 x 24.4 x 2.1 cm, minkšti viršeliai
- Language: English English
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.
Reviews