MLOps, or Machine Learning Operations, is a discipline that focuses on managing the lifecycle of machine learning models. It applies the principles of DevOps to streamline AI and ML projects. The ML lifecycle consists of three phases: Discovery, Development, and Deployment. Automation plays a key role in the ML process, with different levels of maturity ranging from manual to fully automated.
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