Monitoring and Observability for ML Systems
What to watch once a model is live: data drift, prediction drift, latency and error budgets, alerting that does not cry wolf, and the dashboards worth building.
intermediate~5 hours9 notebooks
Curator of this Module
RD
Rajat Dandekar
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Learning Path
Article
1
Introduction2
Notebook 23
Notebook 34
Notebook 45
Notebook 56
Notebook 67
Notebook 78
Notebook 89
Notebook 9Case Study
Certificate