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MLOps Engineering with Python: Production Machine Learning Pipelines, Deployment, Monitoring, and Infrastructure
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Publisher: Independently Published
Pages: 548
Weight: 1.44
Height: 1.36 Width: 6.00 Depth: 9.00
Language: English
MLOps Engineering with Python is a practical guide to building, deploying, and maintaining machine learning systems in production environments.
This book introduces the core engineering practices behind modern machine learning operations, including pipeline design, model packaging, deployment workflows, monitoring, version control, automation, and infrastructure planning. Rather than treating machine learning as a one-time modeling exercise, it focuses on the full operational lifecycle required to move models from experimentation into reliable production use.
Readers will learn how Python-based tools and workflows can support reproducible machine learning pipelines, structured deployment processes, model performance tracking, and scalable system design. The book also examines the engineering tradeoffs involved in managing data, features, models, environments, and production feedback loops.
Designed for machine learning engineers, data scientists, software developers, and technical teams working with production AI systems, this guide provides a structured foundation for understanding how MLOps connects machine learning development with real-world operational reliability.
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Pro C# 10 with .Net 6: Foundational Principles and Practices in Programming
Troelsen, Andrew
Japikse, Phil
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Adobe Photoshop, 2nd Edition: A Complete Course and Compendium of Features
Laskevitch, Stephen
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Kubernetes in Action, Second Edition: Deploying and Managing Containers and Cloud-Native Applications
Luksa, Marko
Conner, Kevin
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Spies, Lies, and Algorithms: The History and Future of American Intelligence
Zegart, Amy B.
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Site Reliability Engineering: How Google Runs Production Systems
Jones, Chris
Beyer, Betsy
Murphy, Niall Richard
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Ruined by Design: How Designers Destroyed the World, and What We Can Do to Fix It
Monteiro, Mike
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Electronic Music and Sound Design - Theory and Practice with Max 9 - Volume 1 (Fifth Edition)
Maurizio, Giri
Cipriani, Alessandro
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