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Añadir al carritohardcover. Condición: Very Good. Learning Systems: From Theory to Practice: 756 (Studies in Computational Intelligence, 756) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .
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Librería: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Alemania
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Añadir al carritoXII, 301 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Studies in Computational Intelligence. Volume 756. Sprache: Englisch.
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Publicado por Springer International Publishing AG, Cham, 2024
ISBN 10: 3031700074 ISBN 13: 9783031700071
Idioma: Inglés
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Añadir al carritoPaperback. Condición: new. Paperback. This book is a self-contained introduction to engineering and testing machine learning (ML) systems. It systematically discusses and teaches the art of crafting and developing software systems that include and surround machine learning models. Crafting ML based systems that are business-grade is highly challenging, as it requires statistical control throughout the complete system development life cycle. To this end, the book introduces an experiment first approach, stressing the need to define statistical experiments from the beginning of the development life cycle and presenting methods for careful quantification of business requirements and identification of key factors that impact business requirements. Applying these methods reduces the risk of failure of an ML development project and of the resultant, deployed ML system. The presentation is complemented by numerous best practices, case studies and practical as well as theoretical exercises and their solutions, designed to facilitate understanding of the ideas, concepts and methods introduced.The goal of this book is to empower scientists, engineers, and software developers with the knowledge and skills necessary to create robust and reliable ML software. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Publicado por Lanzhou University Press Pub. Date :2009-03, 2000
ISBN 10: 7311031788 ISBN 13: 9787311031787
Idioma: Inglés
Librería: liu xing, Nanjing, JS, China
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Añadir al carritopaperback. Condición: New. Paperback. Pub Date: 2009 Pages: 298 in Publisher: Lanzhou University Press' ordinary institutions of higher learning of economics and management planning materials. management information systems: Theory and Practice (2nd Edition) is divided into two parts. the first part of from the first nine chapters. the core theoretical knowledge of management information systems; second part of Chapter 10 and Chapter 11. belongs to the practice of teaching content. Contents: Chapter 1 Information Syste.
Publicado por Springer-Nature New York Inc, 2024
ISBN 10: 3031700074 ISBN 13: 9783031700071
Idioma: Inglés
Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoPaperback. Condición: Brand New. 194 pages. 9.44x6.61x9.45 inches. In Stock.
Publicado por Springer Nature Switzerland, Springer Nature Switzerland Okt 2024, 2024
ISBN 10: 3031700074 ISBN 13: 9783031700071
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware -This book is a self-contained introduction to engineering and testing machine learning (ML) systems. It systematically discusses and teaches the art of crafting and developing software systems that include and surround machine learning models. Crafting ML based systems that are business-grade is highly challenging, as it requires statistical control throughout the complete system development life cycle. To this end, the book introduces an ¿experiment first¿ approach, stressing the need to define statistical experiments from the beginning of the development life cycle and presenting methods for careful quantification of business requirements and identification of key factors that impact business requirements. Applying these methods reduces the risk of failure of an ML development project and of the resultant, deployed ML system. The presentation is complemented by numerous best practices, case studies and practical as well as theoretical exercises and their solutions, designed to facilitate understanding of the ideas, concepts and methods introduced.The goal of this book is to empower scientists, engineers, and software developers with the knowledge and skills necessary to create robust and reliable ML software.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 196 pp. Englisch.
Publicado por Springer Nature Switzerland, Springer Nature Switzerland, 2024
ISBN 10: 3031700074 ISBN 13: 9783031700071
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is a self-contained introduction to engineering and testing machine learning (ML) systems. It systematically discusses and teaches the art of crafting and developing software systems that include and surround machine learning models. Crafting ML based systems that are business-grade is highly challenging, as it requires statistical control throughout the complete system development life cycle. To this end, the book introduces an 'experiment first' approach, stressing the need to define statistical experiments from the beginning of the development life cycle and presenting methods for careful quantification of business requirements and identification of key factors that impact business requirements. Applying these methods reduces the risk of failure of an ML development project and of the resultant, deployed ML system. The presentation is complemented by numerous best practices, case studies and practical as well as theoretical exercises and their solutions, designed to facilitate understanding of the ideas, concepts and methods introduced.The goal of this book is to empower scientists, engineers, and software developers with the knowledge and skills necessary to create robust and reliable ML software.
Librería: Basi6 International, Irving, TX, Estados Unidos de America
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Añadir al carritoCondición: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Publicado por Wiley-Blackwell 2010-04-28, 2010
ISBN 10: 047039983X ISBN 13: 9780470399835
Idioma: Inglés
Librería: Chiron Media, Wallingford, Reino Unido
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Añadir al carritoHardcover. Condición: New.
Librería: ALLBOOKS1, Direk, SA, Australia
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Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Añadir al carritoCondición: New. 2024th edition NO-PA16APR2015-KAP.
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