Machine Learning Operations
**Machine Learning Operations**
What is Machine Learning Operations?
Machine Learning Operations (MLOps) is a set of practices that aims to automate and improve the entire machine learning lifecycle. This includes data preparation, model building, deployment, monitoring, and management. MLOps seeks to streamline these processes, enabling faster experimentation, more reliable deployments, and better model performance in production. It is commonly used to improve the efficiency and reliability of ML projects, bridging the gap between model development and production environments.
What other technologies are related to Machine Learning Operations?
Machine Learning Operations Complementary Technologies
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