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

(Bog, Hardback, Engelsk)
Machine Learning in Astronomy (IAU S368): Possibilities and Pitfalls
Forlag: Cambridge University Press

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Astrofysik Astronomiske observationer: observatorier, udstyr og metoder Machine learning
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Beskrivelse

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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Alle detaljer

Forlag Cambridge University Press
Type Bog
Format Hardback
Sprog Engelsk
Udgivelsesdato 16-10-2025
Første udgivelsesår 2025
Serie Proceedings of the International Astronomical Union Symposia and Colloquia
Illustrationer Worked examples or Exercises
Fagredaktør Jess (University of British Columbia McIver, Ashish (California Institute of Technology) Mahabal, Christopher (Swinburne University of Technology Fluke
Originalsprog United Kingdom
Sideantal 200
Indbinding Hardback
Forlag Cambridge University Press
Sideoplysninger 200 pages, Worked examples or Exercises
Mål 178 x 254 x 11
ISBN-13 / EAN-13 9781009345194