Machine learning in astronomy (iau s368): possibilities and pitfalls
Éditeur :
Cambridge University Press
ISBN :
9781009345194
Date de publication :
16 oct. 2025
Dimensions :
25,4 x 17,8 x 1,1 cm
Poids :
400 g
Langue :
Anglais
Pays d'origine :
Grande Bretagne
IAU S368 addresses graduate students and professional astronomers who wish to leverage machine learning to unlock the potential of modern data-rich surveys and deep images, as well as archival data. Researchers at the frontiers share best practices in applied machine learning that are relevant to astronomy and other data-rich fields.