Use Cases
Common Pitfalls in Monitoring Default Prediction Models and How to Fix Them
Learn common reasons why loan default prediction models degrade after deployment in production, and follow a hands-on tutorial to resolve these issues.
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Prevent Failure of Product Defect Detection Models: A Post-Deployment Guide
This blog dissects the core challenge of monitoring defect detection models: the censored confusion matrix. Additionally, I explore how business value metrics can help you articulate the financial impact of your ML models in front of non-data science experts.
How to Monitor a Credit Card Fraud Detection ML Model
Learn common reasons why fraud detection models degrade after deployment in production, and follow a hands-on tutorial to resolve these issues.
Keep your Model Performance Breezy: Wind Turbine Energy Model Monitoring
Explore how NannyML tools can help maintain prediction reliability in wind energy prediction models.