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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Ms. Francis Julee Rajam J. is an assistant professor with a focus on ML, AI, and healthcare analytics. Next, Ms. Merlin Sofia S. is also an assistant professor, doing her Ph.D., with publications and a focus on machine learning applications. Then, Ms. B. Geno Cinthia is NET-qualified, specializes in programming and e-content, and emphasizes OBE.
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Paperback. Zustand: new. 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. Bestandsnummer des Verkäufers 9786209527821
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Taschenbuch. Zustand: Neu. Machine Learning Engineering | From Prototype to Production | Francis Julee Rajam J. (u. a.) | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786209527821 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 134576955
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Taschenbuch. Zustand: Neu. 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 Landstraße 99, 66123 Saarbrücken 236 pp. Englisch. Bestandsnummer des Verkäufers 9786209527821
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