Meaning of MLflow

Simple definition

MLflow is an open-source platform that manages the machine learning lifecycle, including experiment tracking, model deployment, and reproducibility.

How to use MLflow in a professional context

Data scientists and ML engineers use MLflow to streamline workflows by tracking experiments, sharing code, and deploying models in production.

Concrete example of MLflow

An ML engineer uses MLflow to compare model performance metrics, such as accuracy and training time, across multiple runs of a classification algorithm.