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. The aim of the book is to equip readers with the ability to a...
| Other Authors: |
Bartz, Eva,, Bartz-Beielstein, Thomas,, Zaefferer, Martin,, Mersmann, Olaf,, SpringerLink (Online service) |
| Format: |
Electronic
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| Language: |
English
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| Published: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2023.
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| Physical Description: |
1 online resource (XVII, 323 pages 84 illustrations, 60 illustrations in color. :) : online resource.
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| Edition: |
1st ed. 2023. |
| Subjects: |
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