Shulph Ink
Machine Learning for Astrophysics: Proceedings of the ML4Astro International Conference 30 May - 1 Jun 2022
Machine Learning for Astrophysics: Proceedings of the ML4Astro International Conference 30 May - 1 Jun 2022
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- More about Machine Learning for Astrophysics: Proceedings of the ML4Astro International Conference 30 May - 1 Jun 2022
The book provides a comprehensive overview of machine learning techniques for astrophysics, with theoretical and numerical methods and tools for various fields of theoretical and observational astronomy. It helps readers understand and quantify the opportunities and limitations of using machine learning in astrophysics.
Format: Hardback
Length: 211 pages
Publication date: 15 October 2023
Publisher: Springer International Publishing AG
The book "Machine Learning Techniques for Astrophysics" provides a comprehensive overview of the field, covering theoretical and numerical methods and tools with applications in various fields of theoretical and observational astronomy. It reviews the state of the art in the exploitation of machine learning techniques for the astrophysics community, helping the reader to understand and quantify both the opportunities and limitations of using machine learning in astrophysics. The contributed chapters provide a balanced approach to the material, making it easy for the reader to digest. The book is essential for researchers, students, and professionals in the field of astrophysics who want to stay up-to-date with the latest developments in machine learning and its applications in the field.
Dimension: 235 x 155 (mm)
ISBN-13: 9783031341663
Edition number: 1st ed. 2023
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