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Machine Learning in Astronomy (IAU S368) : Possibilities and Pitfalls - Ashish  Mahabal

Machine Learning in Astronomy (IAU S368)

Possibilities and Pitfalls

By: Ashish Mahabal (Editor), Jess McIver (Editor), Christopher Fluke (Editor)

Hardcover | 31 May 2025

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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.

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