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MLOps Coffee Sessions #10 Analyzing the Article “Continuous Delivery and Automation Pipelines in Machine Learning" // Part 2
Second installation, David and Demetrios are reviewing the Google paper about Continuous training and automated pipelines. They dive deep into machine learning monitoring and also what exactly continuous training actually entails. Some key highlights are:
Automatically retraining and serving the models:
When to do it?
Outlier detection
Drift detection
Outlier detection:
What is it?
How you deal with it
Drift detection
Individual features may start to drift. This could be a bug, or it could be perfectly normal behavior that indicates that the world has changed, requiring the model to be…
The skinny
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