Santiago Víquez
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Santiago and the ML Models
Personal newsletter where I share what I'm learning, writing, and up to in the field of ML/AI
8 posts · theirs
Lately
New beginnings. And the future of this Newsletter.
2024 Year in Review
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
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