Machine Learning for Astrophysics : Proceedings of the ML4Astro International Conference 30 May - 1 Jun 2022 - Eva Sciacca

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Machine Learning for Astrophysics

Proceedings of the ML4Astro International Conference 30 May - 1 Jun 2022

By: Eva Sciacca (Editor), Simone Riggi (Editor), Francesco Schilliro (Editor), Filomena Bufano (Editor)

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Hardcover | 15 October 2023

At a Glance

Hardcover
228 Pages

Dimensions(cm)
23.5 x 15.5 x 1.42

Hardcover

$249.00

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This book reviews the state of the art in the exploitation of machine learning techniques for the astrophysics community and gives the reader a complete overview of the field. The contributed chapters allow the reader to easily digest the material through balanced theoretical and numerical methods and tools with applications in different fields of theoretical and observational astronomy. The book helps the reader to really understand and quantify both the opportunities and limitations of using machine learning in several fields of astrophysics.

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