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Machine Learning in Astronomy (IAU S368)

Machine Learning in Astronomy (IAU S368)

Possibilities and Pitfalls

Inhalt

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.

Bibliografische Angaben

März 2025, Proceedings of the International Astronomical Union Symposia and Colloquia, Englisch
Cambridge Academic
978-1-009-34519-4

Inhaltsverzeichnis

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Weitere Titel der Reihe: Proceedings of the International Astronomical Union Symposia and Colloquia

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