Machine learning for astrophysics proceedings of the ML4Astro International Conference 30 May-1 June 2022 /

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 a...

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Corporate Authors: International Conference on Machine Learning for Astrophysics Catania, Italy ; Online)
Other Authors: International Conference on Machine Learning for Astrophysics, Bufano, Filomena,, Riggi, Simone,, Sciacca, Eva,, Schilliro, Francesco,, SpringerLink (Online service)
Format: eBook
Language: English
Published: Cham : Springer, 2023.
Physical Description: 1 online resource (180 pages) : illustrations (black and white, and color).
Series: Astrophysics and space science proceedings ; v. 60.
Subjects:

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