Online Learning
A learning approach in which the model is updated incrementally with new examples arriving over time rather than all at once.
Online learning is especially important in environments where data is not static and changes over time. Instead of training once on a fixed dataset, the model is updated incrementally as new examples arrive. Financial streams, user behavior, cybersecurity events, and real-time operational systems often require this setup. The main strength of online learning is adaptability; its main challenge is that uncontrolled updates may reduce system stability. In other words, online learning is not just about speed, but about balancing adaptation with control.
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