Online Learning and Continual Training

A model trained on last week’s data can already be out of date. User preferences change, new products appear, seasonal trends kick in, but the model keeps making predictions based on patterns that no longer match reality.

Online learning and continual training address this by updating the model as new data arrives, instead of waiting for the next scheduled retrain.