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Descriere
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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- Publisher: Cambridge University Press
- Illustration(s): Worked examples or Exercises
- Number of pages: 200
- Collection: Proceedings of the International Astronomical Union Symposia and Colloquia
- Publication date: 2025
- Dimensions: 178 x 254 x 11
- Cover type: Hardback
- Editor(s): Christopher (Swinburne University of Technology, Victoria) Fluke
Detalii
- Autor
- ***
- Editura
- Cambridge University Press
- Colectie
- Proceedings of the International Astronomical Union Symposia and Colloquia
- Anul aparitiei
- 2.025
- Luna aparitiei
- 10
- Tip coperta
- Cartonata
- Numar de pagini
- 200
- Format
- 178 x 254
- ISBN
- 1009345192
- Cod de bare
- 9781009345194
- Tara de origine
- Marea Britanie