Machine Learning Engineering with Python: Manage the lifecycle of machine learning models using MLOps with practical examples
Machine Learning Engineering with Python presents a practical introduction to managing the lifecycle of machine learning models. With Python as its foundation, the book emphasizes MLOps and uses practical examples to explain the engineering processes behind developing, deploying, and maintaining machine learning systems.
About This Book
Machine Learning Engineering with Python explores the engineering practices involved in developing and managing machine learning models.
The book focuses on the lifecycle of machine learning models, from development through ongoing management, with an emphasis on MLOps.
Python provides the programming context for the material, supporting a practical approach to machine learning engineering.
Practical examples help connect the concepts to real-world model management and operational workflows.
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