Jose Martinez

1 month ago | medium.com | José Luis Martínez |Jose Martinez |José Martinez |Jose Martínez

While applying MLflow during my experiments in the MLOps Zoomcamp, I came to appreciate something fundamental about its design: MLflow doesn’t take control — it gives you control. It won’t choose the best model for you or alert you when performance dips. Instead, it provides the infrastructure to capture and organize exactly what you define as important. You decide what to measure, what to log, and how to interpret those results.