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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.Publisher: Cambridge University PressAuthor(s): Roman (Washington University in St Louis) GarnettIllustration(s): Worked examples or ExercisesNumber of pages: 358Publication date: 2023Dimensions: 259 x 211 x 24Cover type: Hardback
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Vânzător: Elefant.ro
Brand: Cambridge University Press
