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. The aim of the book is to equip readers with the ability to a...

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Bibliographic Details

Corporate Author:	SpringerLink (Online service)
Other Authors:	Bartz, Eva (Editor), Bartz-Beielstein, Thomas (Editor), Zaefferer, Martin (Editor), Mersmann, Olaf (Editor)
Format:	eBook
Language:	English
Published:	Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Edition:	1st ed. 2023.
Subjects:	Artificial intelligence. Machine learning. Mathematical physics. Computer simulation. Computational intelligence. Artificial Intelligence. Machine Learning. Statistical Learning. Computational Physics and Simulations. Computational Intelligence. Electronic books.
Online Access:	Connect to the full text of this electronic book