Machine Learning in Astronomy (IAU S368)
Possibilities and Pitfalls
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.
Specificaties
ISBN/EAN | 9781009345194 |
Auteur | Jess (University of British Columbia McIver |
Uitgever | Van Ditmar Boekenimport B.V. |
Taal | Engels |
Uitvoering | Gebonden in harde band |
Pagina's | 200 |
Lengte | |
Breedte |