Hyperparameter Tuning for Machine and Deep Learning with R: A Practical Guide
Overview & Synopsis
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.
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Document Information
| Document Title | Hyperparameter Tuning for Machine and Deep Learning with R: A Practical Guide |
|---|---|
| Author / Organization | Eva Bartz, Thomas Bartz-Beielstein, Martin Zaefferer, Olaf Mersmann |
| Subject & Discipline | Machine Learning, Deep Learning and Neural Networks, R Programming, Artificial Intelligence |
| Categories | Machine Learning |
| Publication Year | 2023 |
| ISBN | 9811951721 |
| License / Rights | CC BY 4.0 |
| Resource Verification | Access Restricted / Protected Host |
| Original Host Website |
FreeComputerBooks.com
(freecomputerbooks.com)
|
| File Format | application/pdf (Portable Document Format) |
| Language | ENGLISH |
| Catalog ID | DOC-9737 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |
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