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Bayesian Optimization Garnett, Roman (Washington University in St Louis)
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Bayesian Optimization
Garnett, Roman (Washington University in St Louis)
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.
150 pages, Worked examples or Exercises
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | February 9, 2023 |
| ISBN13 | 9781108425780 |
| Publishers | Cambridge University Press |
| Pages | 358 |
| Dimensions | 211 × 259 × 24 mm · 956 g |
| Language | English |