Paperback. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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Bibliographic Details

Title: Machine Learning Engineering (Paperback)
Publisher: LAP Lambert Academic Publishing
Publication Date: 2026
Language: English
ISBN 10: 6209527825
ISBN 13: 9786209527821
Binding: Paperback
Condition: new

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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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