First-order and Stochastic Optimization Methods for Machine Learning /

This book covers not only foundational materials but also the most recent progresses made during the past few years on the area of machine learning algorithms. In spite of the intensive research and development in this area, there does not exist a systematic treatment to introduce the fundamental co...

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Bibliographic Details

Main Author:	Lan, Guanghui (Author)
Corporate Author:	SpringerLink (Online service)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2020.
Edition:	1st ed. 2020.
Series:	Springer Series in the Data Sciences,
Subjects:	Mathematical optimization. Machine learning. Optimization. Machine Learning. Electronic books.
Online Access:	Connect to the full text of this electronic book