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Hyperparameter Tuning for Machine and Deep Learning with R: A Practical Guide 1st ed. 2023 edition
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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
| Media | Bøker Innbunden bok (Bok med hard rygg og stivt omslag) |
| Utgitt | 2. januar 2023 |
| ISBN13 | 9789811951695 |
| Utgivere | Springer Verlag, Singapore |
| Antall sider | 323 |
| Mål | 165 × 241 × 25 mm · 676 g |
| Redaktør | Bartz, Eva |
| Redaktør | Bartz-Beielstein, Thomas |
| Redaktør | Mersmann, Olaf |
| Redaktør | Zaefferer, Martin |
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