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Language: English
Published by Saint Philip Street Press, 2020
ISBN 10: 1013271661 ISBN 13: 9781013271663
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Published by Saint Philip Street Press, 2020
ISBN 10: 101327167X ISBN 13: 9781013271670
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Published by Saint Philip Street Press, 2020
ISBN 10: 1013271661 ISBN 13: 9781013271663
Seller: moluna, Greven, Germany
Kartoniert / Broschiert. Condition: New. KlappentextrnrnThis 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 interna.
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Published by Saint Philip Street Press, 2020
ISBN 10: 101327167X ISBN 13: 9781013271670
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Buch. Condition: 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.
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Published by Saint Philip Street Press, 2020
ISBN 10: 1013271661 ISBN 13: 9781013271663
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Published by Saint Philip Street Press, 2020
ISBN 10: 101327167X ISBN 13: 9781013271670
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Published by Saint Philip Street Press, 2020
ISBN 10: 1013271661 ISBN 13: 9781013271663
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. Print on Demand pp. 224.
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Published by Saint Philip Street Press, 2020
ISBN 10: 1013271661 ISBN 13: 9781013271663
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Published by Springer International Publishing Mai 2019, 2019
ISBN 10: 3030053172 ISBN 13: 9783030053178
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 236 pp. Englisch.
Language: English
Published by Saint Philip Street Press, 2020
ISBN 10: 1013271661 ISBN 13: 9781013271663
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. PRINT ON DEMAND pp. 224.
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Published by Saint Philip Street Press, 2020
ISBN 10: 101327167X ISBN 13: 9781013271670
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. Print on Demand pp. 224.
Language: English
Published by Saint Philip Street Press, 2020
ISBN 10: 101327167X ISBN 13: 9781013271670
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. Print on Demand pp. 224.
Language: English
Published by Saint Philip Street Press, 2020
ISBN 10: 101327167X ISBN 13: 9781013271670
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. PRINT ON DEMAND pp. 224.
Language: English
Published by Springer International Publishing, 2019
ISBN 10: 3030053172 ISBN 13: 9783030053178
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents a tutorial-level overview of the methods underlying automatic machine learning, enabling readers to easily understand the key concepts behind AutoMLOffers a comprehensive collection of in-depth descriptions of AutoML sys.
Language: English
Published by Springer, Springer Mai 2019, 2019
ISBN 10: 3030053172 ISBN 13: 9783030053178
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 236 pp. Englisch.