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) |
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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: |
In Prospector
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