Overview
Bayesian optimization is a methodology that has proven success in the sciences, engineering, and beyond for optimizing expensive objective functions. This self-contained text targets graduate students and researchers in machine learning and statistics - and practitioners from other fields - wishing to harness the power of Bayesian optimization.
- | : Roman Garnett (Washington University in St Louis)
- | Publisher: Cambridge University Press
- | Publication Date: Feb 09, 2023
- | Country of Publication: United Kingdom
- | Number of Pages: 358 pages
- | Language: Unknown
- | Binding: Hardback
- | ISBN-10: 110842578X
- | ISBN-13: 9781108425780
