MLflow Tracking Concepts, MLflow Authors, 2024 - Official documentation explaining the fundamental concepts of MLflow tracking, including the role of experiments in organizing machine learning runs.
Practical MLOps: How to Get Your Machine Learning Models into Production, Nicholas Renotte, 2022 (O'Reilly Media) - A practical guide to MLOps practices, offering context on why experiment tracking and structured run organization are essential components of a robust machine learning workflow.