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Hyperparameter Tuning for Machine and Deep Learning with R: A Practical Guide 1st ed. 2023 edition
Hyperparameter Tuning for Machine and Deep Learning with R: A Practical Guide
This open access book provides a wealth of hands-on examples that illustrate how hyperparameter tuning can be applied in practice and gives deep insights into the working mechanisms of machine learning (ML) and deep learning (DL) methods.
323 pages, 60 Illustrations, color; 24 Illustrations, black and white; XVII, 323 p. 84 illus., 60 il
| Medios de comunicación | Libros Paperback Book (Libro con tapa blanda y lomo encolado) |
| Publicado | 19 de diciembre de 2022 |
| ISBN13 | 9789811951725 |
| Editores | Springer Verlag, Singapore |
| Páginas | 323 |
| Dimensiones | 150 × 220 × 10 mm · 528 g |
| Editor | Bartz, Eva |
| Editor | Bartz-Beielstein, Thomas |
| Editor | Mersmann, Olaf |
| Editor | Zaefferer, Martin |