Concept
Model Lifecycle Management involves overseeing the development, deployment, maintenance, and retirement of machine learning models to ensure they remain accurate, reliable, and relevant over time. It encompasses processes for continuous monitoring, updating, and governance to address data drift, model decay, and evolving business requirements.
Relevant Degrees
3