Hyperparameter Tuning for Machine and Deep Learning with R A Practical Guide / edited by Eva Bartz, Thomas Bartz-Beielstein, Martin Zaefferer, Olaf Mersmann.

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...

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Bibliographic Details
Other Authors: Bartz, Eva (Editor, http://id), Bartz-Beielstein, Thomas (Editor, http://id), Zaefferer, Martin (Editor, http://id), Mersmann, Olaf (Editor, http://id)
Format: eBook
Language:English
Published: Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Edition:1st ed. 2023.
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Online Access:Click for online access