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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
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Publicado | 9 de febrero de 2023 |
| ISBN13 | 9781108425780 |
| Editores | Cambridge University Press |
| Páginas | 358 |
| Dimensiones | 211 × 259 × 24 mm · 990 g |
| Lengua | Inglés |
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