References and useful ressources

• https://www.evidentlyai.com/ml-in-production/data-drift

While Concept drift describes changes in the data patterns and relationships that the ML model has learned, data drift refers to changes in the distribution of the features an ML model receives in production, potentially causing a decline in model performance.