Santiago and the ML Models

The Little Book of ML Metrics 👀

I ran 580 model-dataset experiments to show that, even if you try very hard, it is almost impossible to know that a model is degrading just by looking at data drift results

Continuous retraining and formalizing the model aging framework

Temporal degradation framework and other ideas

Writing my master's thesis in public

Monitoring Workflow for Machine Learning Systems