Hyperparameter Tuning for Machine and Deep Learning with R A Practical Guide /

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

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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
Online Access: Full Text (via Springer)
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.
Subjects:
Artificial intelligence.
Machine learning.
Mathematical physics.
Computer simulation.
Computational intelligence.

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Holdings details from Online
Call Number: TA347.A78
TA347.A78 Available

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