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Machine Learning for Astrophysics 2024

Proceedings of the 2nd ML4ASTRO International Conference 8-12 July 2024

Language EnglishEnglish
E-book Adobe ePub DRM
Publishers Springer, April 2026
This proceedings book reviews the state of the art in the exploitation of machine learning technique... Full description
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196.39 € VAT included
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This proceedings 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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About the book

Full name Machine Learning for Astrophysics 2024
Author Filomena Bufano, Eva Sciacca, Simone Riggi
Language English
Binding E-book - Adobe ePub DRM
Date of issue 2026
EAN 9783032022325
Libristo code 52139741
Publishers Springer
Series Astrophysics and Space Science Proceedings

Categories

Mathematics & Science > Physics > Applied physics > Astrophysics
Computing & Information Technology > Computer science > Artificial intelligence > Machine learning
Mathematics & Science > Mathematics > Probability & statistics
Mathematics & Science > Astronomy, space & time > Astronomical observation: observatories, equipment & methods
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