Machine Learning Lifecycle

From Notebook to Production: How MLOps Principles Map to the ML Lifecycle

MLOps applies software engineering principles to the machine learning lifecycle, treating ML assets with the same discipline as traditional software. By integrating practices across build, deploy, and operate phases, MLOps transforms manual model development into a scalable, governed production discipline.