Online learning (or online machine learning) is a method in machine learning where the model continuously learns from a sequential stream of data, updating its parameters incrementally with each new data instance or small batch of data.
It is a dynamic process that allows a model to adapt to new patterns and changes in the data distribution in real-time.
Online learning is the opposite of the more traditional Batch Learning (or Offline Learning) approach.
