Sprache: Englisch
Verlag: Morgan & Claypool Publishers, 2013
ISBN 10: 1608459691 ISBN 13: 9781608459698
Anbieter: Anybook.com, Lincoln, Vereinigtes Königreich
EUR 24,77
Anzahl: 1 verfügbar
In den WarenkorbZustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,400grams, ISBN:9781608459698.
Sprache: Englisch
Verlag: Morgan & Claypool Publishers, 2013
ISBN 10: 1608459691 ISBN 13: 9781608459698
Anbieter: Anybook.com, Lincoln, Vereinigtes Königreich
EUR 26,40
Anzahl: 1 verfügbar
In den WarenkorbZustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Library sticker on front cover. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,400grams, ISBN:9781608459698.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 53,09
Anzahl: 2 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 219 pages. 9.75x6.50x0.75 inches. In Stock.
Sprache: Englisch
Verlag: Springer International Publishing, 2019
ISBN 10: 3030053172 ISBN 13: 9783030053178
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
Zustand: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.