Online Learning is a machine learning approach where models are updated incrementally with new data as it becomes available, rather than retraining from scratch. This technique enables rapid adaptation to changing data patterns, making it suitable for real-time applications like stock trading or recommendation systems. It is efficient for large or streaming datasets, facilitating continuous learning without extensive computational costs.