Introduction to Python in Earth Science Data Analysis: From Descriptive Statistics to Machine Learning - Couverture rigide

Petrelli, Maurizio

 
9783030780548: Introduction to Python in Earth Science Data Analysis: From Descriptive Statistics to Machine Learning
Couverture rigide
ISBN 10 : 3030780546 ISBN 13 : 9783030780548
Editeur : Springer Nature Switzerland AG, 2021

Synopsis

Part I Python for Geologists, a kick-off; 1. Setting Up Your Python Environment, Easily; 2. Python Essentials for a Geologist; 3. Start Solving Geological Problems Using Python; Part II Describing Geological Data; 4. Graphical Visualization of a Geological Dataset; 5. Descriptive Statistics; Part III Integrals and Differential Equations in Geology; 6. Numerical Integration; 7. Ordinary Differential Equations (ODE); 8. Partial Differential Equations (PDE); Part IV Probability Density Functions and Error Analysis; 9. Probability Density Functions and their Use in Geology; 10. Error Analysis; Part V Robust Statistics and Machine Learning; 11. Introduction to Robust Statistics; 12. Machine Learning;

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l?auteur

Maurizio Petrelli works as a researcher in petrology and volcanology at the Department of Physics and Geology, University of Perugia. In 2001, he graduated in Geology and obtained his PhD 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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Springer Nature Switzerland AG
Date d'édition
2021
Langue
anglais
ISBN 10 
3030780546
ISBN 13 
9783030780548
Reliure
Relié
Nombre de pages
244
Coordonnées du fabricant
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Autres éditions populaires du même titre

9783030780579: Introduction to Python in Earth Science Data Analysis: From Descriptive Statistics to Machine Learning

Edition présentée

ISBN 10 :  3030780570 ISBN 13 :  9783030780579
Editeur : Springer, 2022
Couverture souple