Machine Learning in Astronomy (IAU S368). Possibilities and Pitfalls, Hardback - ***

Detalii:

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.Publisher: Cambridge University PressIllustration(s): Worked examples or ExercisesNumber of pages: 200Collection: Proceedings of the International Astronomical Union Symposia and ColloquiaPublication date: 2025Dimensions: 178 x 254 x 11Cover type: HardbackEditor(s): Christopher (Swinburne University of Technology, Victoria) Fluke

Preț:

706.99 ^RON

---

Alte detalii:

Vânzător: Elefant.ro
Brand: Cambridge University Press