Computational methods for data analysis /:

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 th...

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Hauptverfasser: Cattani, Carlo (VerfasserIn), Karaca, Yeliz (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Berlin ; Boston : Walter de Gruyter GmbH, [2019]
Schriftenreihe:De Gruyter STEM
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Online-Zugang:Volltext
Zusammenfassung: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.
Beschreibung:1 online resource
ISBN:9783110493603
3110493608
9783110496369
3110496364

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