Automated Machine Learning by Frank Hutter

Automated Machine Learning by Frank Hutter

This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems. The recent success of commercial ML applications and the rapid growth of the field has created a high demand for off-the-shelf ML methods that can be used easily and without expert knowledge. However, many of the recent machine learning successes crucially rely on human experts, who manually select appropriate ML architectures (deep learning architectures or more traditional ML workflows) and their hyperparameters. To overcome this problem, the field of AutoML targets a progressive automation of machine learning, based on principles from optimization and machine learning itself. This book serves as a point of entry into this quickly-developing field for researchers and advanced students alike, as well as providing a reference for practitioners aiming to use AutoML in their work.

“This interesting collection should be useful for AutoML researchers seeking an overview and comprehensive bibliography” (Anoop Malaviya, Computing Reviews, June 14, 2021)

SKU	Nicht verfügbar
ISBN 13	9783030053178
ISBN 10	3030053172
Titel	Automated Machine Learning
Autor	Frank Hutter
Serie	The Springer Series On Challenges In Machine Learning
Buchzustand	Nicht verfügbar
Bindungsart	Hardback
Verlag	Springer Nature Switzerland AG
Erscheinungsjahr	2019-05-28
Seitenanzahl	219
Hinweis auf dem Einband	Die Abbildung des Buches dient nur Illustrationszwecken, die tatsächliche Bindung, das Cover und die Auflage können sich davon unterscheiden.
Hinweis	Nicht verfügbar