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Production ML and MLOps

Machine Learning Engineering (MLE) involves applying scientific principles, tools, and techniques from machine learning and traditional software engineering to design and build complex computing systems.

The Production ML focuses on the practical aspects of deploying machine learning models into production environments. It covers the challenges and best practices involved in building, testing, deploying, and monitoring ML systems.

MLOps emphasizes the importance of standardizing processes and technology capabilities to enable rapid and scalable deployment and operation of ML systems.