On Spatio-Temporal Data Modelling and Uncertainty Quantification Using Machine Learning and Information Theory by Guignard, Fabian

On Spatio-Temporal Data Modelling and Uncertainty Quantification Using Machine Learning and Information Theory (Paperback) (ISBN-13: 9783030952334)

Vendor: Fabian Guignard
Product type: Books
Format: Paperback
$169.99
$169.99
$169.99
Subtotal: $169.99
On Spatio-Temporal Data Modelling and Uncertainty Quantification Using Machine Learning and Information Theory by Guignard, Fabian

On Spatio-Temporal Data Modelling and Uncertainty Quantification Using Machine Learning and Information Theory

$169.99
On Spatio-Temporal Data Modelling and Uncertainty Quantification Using Machine Learning and Information Theory by Guignard, Fabian

On Spatio-Temporal Data Modelling and Uncertainty Quantification Using Machine Learning and Information Theory

$169.99
Format: Paperback
Description
Description
x

Author: Fabian Guignard
ISBN-10: 3030952339
ISBN-13: 9783030952334
Publisher: Springer
Language: English
Published: 03/13/2023
Pages: 158
Format: Paperback
Weight: 0.57lbs
Size: 9.21h x 6.14w x 0.38d
By Fabian Guignard
By Fabian Guignard
x
Dr. Fabian Guignard is an environmental data scientist born in 1983 in Switzerland. He received a M.S. degree in Mathematics from Ecole Polytechnique F馘駻ale de Lausanne (EPFL, Switzerland) in 2015 and a Ph.D. in Environmental Sciences from the University of Lausanne (UNIL, Switzerland) in 2021. His main research interests lie at the intersection of applied mathematics and computer science, including machine learning, uncertainty quantification and their applications to environmental spatio-temporal statistics.

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