<aside> 📖 MLOps, short for Machine Learning Operations, is a set of practices and principles that aim to streamline and automate the end-to-end machine learning lifecycle, from model development to deployment and maintenance. MLOps is inspired by DevOps (Development Operations) and extends its principles to the domain of machine learning. The goal is to increase the efficiency, collaboration, and reliability of machine learning systems, allowing organizations to deploy and manage machine learning models more effectively.

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Stages of MLOps