When your machine learning models work in sensitive areas like loan application prediction, you better be sure that they work correctly and you are alerted in real-time if there is an issue.
But how?
We will walk you through a real use case and:
suggest which monitoring signals to prioritize
explain the difference between metrics for model training and metrics for model monitoring
show how machine learning monitoring can be implemented with a traditional software monitoring stack like Grafana and Prometheus
About the speaker
Lina Weichbrodt
Machine Learning Lead Engineer at Deutsche Kreditbank AG
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