Machine learning in astronomy : possibilities and pitfalls : proceedings of the 368th Symposium of the International Astronomical Union, Busan, Republic of Korea, 2-4 August, 2022
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書誌事項
Machine learning in astronomy : possibilities and pitfalls : proceedings of the 368th Symposium of the International Astronomical Union, Busan, Republic of Korea, 2-4 August, 2022
（IAU symposium and colloquium proceedings series, . IAU symposium ; 368）（Proceedings of the International Astronomical Union）
Cambridge University Press, 2025
- : hardback
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Content Type: text (ncrcontent), Media Type: unmediated (ncrmedia), Carrier Type: volume (ncrcarrier)
At head of title: International Astronomical Union, Union Astronomique Internationale
Includes bibliographical references and index
