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

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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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Bibliografski detalji
Daljnji autori:	Bartz, Eva (Urednik), Bartz-Beielstein, Thomas (Urednik), Zaefferer, Martin (Urednik), Mersmann, Olaf (Urednik)
Format:	Elektronički Poglavlje knjige
Jezik:	engleski
Izdano:	Singapore Springer Nature 2023
Teme:	Artificial intelligence Machine learning Mathematical & statistical software Mathematical physics Hyperparameter Tuning Hyperparameters Tuning Deep Neural Networks Reinforcement Learning Machine Learning
Online pristup:	DOAB: download the publication DOAB: description of the publication
Oznake:	Dodaj oznaku Bez oznaka, Budi prvi tko označuje ovaj zapis!

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