Machine Learning Model Monitoring in Production: Model Decay and Drifts

Digital learning, Lesson

8 minutes

2 hours

Intermediate

Manager, Professionals, Workers

This learning nugget tackle the topic of machine learning model decay. It answers the following questions:

What is model decay? Why does model decay happen? How do they impact the ML model in production? How to prevent it?

Learning outcomes

Define the concepts of model decay, data and concept drift
Identify real-life situations that can hinder the performance of an AI system in manufacturing after deployment
Classify the above mentioned situations according to the type of drift

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Content created in 2023