Online Learning
Online learning is a machine learning paradigm where models continuously learn and update from a stream of data, one instance or a small batch at a time, rather than requiring the entire dataset upfront. This contrasts with traditional batch learning, where models are trained once on a fixed dataset. It is particularly useful when data arrives sequentially and the underlying patterns might evolve over time.
Imagine learning to play a musical instrument by practicing one new note or chord at a time, constantly adjusting your technique based on immediate feedback, rather than memorizing an entire song before ever touching the instrument.
Online learning enables AI systems to adapt to dynamic environments and process real-time data efficiently without constant retraining from scratch.
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