Bibliografische Daten
ISBN/EAN: 9783110496352
Sprache: Englisch
Umfang: XII, 383 S., 220 s/w Illustr., 40 farbige Illustr.
Format (T/L/B): 2.1 x 24 x 17 cm
Einband: Paperback
Beschreibung
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.
Produktsicherheitsverordnung
Hersteller:
Walter de Gruyter GmbH
De Gruyter GmbH
productsafety@degruyterbrill.com
Genthiner Strasse 13
DE 10785 Berlin
Autorenportrait
Yeliz Karaca, University of Massachusetts, Worcester MA, USA; Carlo Cattani, University of Tuscia, Viterbo, Italy.
