Machine Learning for Earth Sciences

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64,19 

Using Python to Solve Geological Problems, Springer Textbooks in Earth Sciences, Geography and Environment

ISBN: 3031351169
ISBN 13: 9783031351167
Autor: Petrelli, Maurizio
Verlag: Springer Verlag GmbH
Umfang: xvi, 209 S., 3 s/w Illustr., 99 farbige Illustr., 209 p. 102 illus., 99 illus. in color.
Erscheinungsdatum: 24.09.2024
Auflage: 1/2024
Produktform: Kartoniert
Einband: Kartoniert
Artikelnummer: 4576423 Kategorie:

Beschreibung

Autorenporträt

Maurizio Petrelli is an associate professor in petrology and volcanology at the Department of Physics and Geology, University of Perugia. In 2001, he graduated in Geology and obtained his Ph.D. in February 2006 at the University of Perugia. His current studies are focused on the petrological, volcanological, and geochemical characterization of magmatic systems with particular emphasis on time-scales estimates of magmatic processes. He combines the use of numerical simulations, experimental petrology, and the study of natural samples. Since 2016, he has developed a new line of research at the Department of Physics and Geology (University of Perugia) focused on the application of Machine Learning techniques to petrological and volcanological studies. 

Herstellerkennzeichnung:


Springer Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

E-Mail: juergen.hartmann@springer.com

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