Summary:
- MLOps, or Machine Learning Operations, is a set of practices and tools that help manage the entire lifecycle of a machine learning (ML) system.
- MLOps ensures that ML models are deployed and maintained efficiently, with a focus on reproducibility, automation, and monitoring.
- MLOps helps organizations streamline the process of developing, testing, and deploying ML models, leading to faster and more reliable model deployment.