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In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: American Orthopsychiatric Association, 2022
ISBN 10: 1098107969 ISBN 13: 9781098107963
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In den WarenkorbPaperback. Zustand: Brand New. 350 pages. 9.19x7.00x0.80 inches. In Stock.
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In den WarenkorbZustand: NEW.
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In den WarenkorbZustand: New. This book provides a framework for designing real-world ML systems that are quick to deploy, reliable, scalable, and iterative. You ll learn everything from project scoping, data management, model development, deployment, and infrastructure to team structur.
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Designing Machine Learning Systems | An Iterative Process for Production-Ready Applications | Chip Huyen | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2022 | O'Reilly Media | EAN 9781098107963 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Taschenbuch. Zustand: Neu. Neuware -Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 367 pp. Englisch.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements.
Taschenbuch. Zustand: Neu. Neuware -Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements. 367 pp. Englisch.