Online Learning

A training paradigm where the model updates its parameters continuously as new data arrives, rather than being trained in discrete batches on a fixed dataset. Online learning allows models to adapt in real time to changing conditions, making it well suited for applications like financial forecasting or personalized recommendations where the data distribution shifts over time.
See also: offline learning.