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Online Machine Learning A Practical Guide with Examples in Python /

This book deals with the exciting, seminal topic of Online Machine Learning (OML). The content is divided into three parts: the first part looks in detail at the theoretical foundations of OML, comparing it to Batch Machine Learning (BML) and discussing what criteria should be developed for a meanin...

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Bibliographic Details
Corporate Author:	SpringerLink (Online service)
Other Authors:	Bartz, Eva (Editor), Bartz-Beielstein, Thomas (Editor)
Format:	Electronic eBook
Language:	English
Published:	Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Edition:	1st ed. 2024.
Series:	Machine Learning: Foundations, Methodologies, and Applications,
Subjects:	Artificial intelligence. Machine learning. Artificial Intelligence. Machine Learning.
Online Access:	https://doi.org/10.1007/978-981-99-7007-0
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