Practical MLOps: Operationalizing Machine Learning Models
Learn how to operationalize machine learning models with proven deployment, monitoring, and scaling practices for production environments.
About This Book
Practical MLOps focuses on the operational aspects of bringing machine learning models into real-world use.
The book covers deployment strategies, monitoring practices, and scaling techniques for ML systems.
Readers gain insight into the tools and workflows needed to maintain reliable machine learning pipelines.
Emphasis is placed on collaboration between data science and operations teams throughout the model lifecycle.
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