Knowledge Graph — Coursera Notes › Academic disciplines › Information Technology / Computer Science › Artificial Intelligence › Machine Learning & Data

MLflow

service · part of Machine Learning & Data

An open-source platform for managing the ML lifecycle, including experiment tracking, model versioning, and deployment.

Provides built-in versioning capabilities to track model updates, compare versions, and roll back if needed. Often paired with data versioning tools like DVC.

Model Registry for standardized model registration, sharing, and deployment. Integrates with AWS, Azure, GCP. Tracking server records metrics, artifacts, parameters.

Tracks model versions and ensures the latest effective version is deployed.

Connections

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