This item is printed on demand - Print on Demand Titel. Neuware -Machine Learning Engineering: From Prototype to Production is the definitive guide for transitioning ML models from research to reliable, scalable systems. This comprehensive book covers the entire lifecycle-data engineering, reproducible experimentation, model deployment, MLOps infrastructure, monitoring, scaling, security, and compliance-with practical patterns and real-world case studies. Designed for data scientists, software engineers, and technical leaders, it provides the engineering principles, infrastructure knowledge, and organizational practices needed to build ML systems that deliver sustained business value. The book balances theoretical foundations with actionable implementation details, making it an essential resource for anyone serious about production ML.VDM Verlag, Dudweiler Landstra�e 99, 66123 Saarbr�cken 236 pp. Englisch.

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Bibliographic Details

Title: Machine Learning Engineering
Publisher: LAP LAMBERT Academic Publishing Jan 2026
Publication Date: 2026
Language: English
ISBN 10: 6209527825
ISBN 13: 9786209527821
Binding: Taschenbuch
Condition: Neu
Dimensions: 220 millimeters width by 150 millimeters height by 15 millimeters depth
Weight: 369 grams

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Machine Learning Engineering: From Prototype to Production is the definitive guide for transitioning ML models from research to reliable, scalable systems. This comprehensive book covers the entire lifecycle—data engineering, reproducible experimentation, model deployment, MLOps infrastructure, monitoring, scaling, security, and compliance—with practical patterns and real-world case studies. Designed for data scientists, software engineers, and technical leaders, it provides the engineering principles, infrastructure knowledge, and organizational practices needed to build ML systems that deliver sustained business value. The book balances theoretical foundations with actionable implementation details, making it an essential resource for anyone serious about production ML.

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