Cover Image

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

Show other versions (2)

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...

Full description

Saved in:
Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Bartz, Eva (Editor), Bartz-Beielstein, Thomas (Editor), Zaefferer, Martin (Editor), Mersmann, Olaf (Editor)
Format: Electronic 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.
Online Access:Link to Metadata
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

Link to Metadata

3rd Floor Main Library

Holdings details from 3rd Floor Main Library
Call Number: A1234.567
Copy 1 Available

Similar Items