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Online Learning
Online learning is a machine learning paradigm where models are continuously updated as new data becomes available, rather than being trained once on a fixed dataset. The model processes data one instance or in small batches at a time, adapting to changing patterns instantaneously. This is vital for real-time systems and scenarios where data streams perpetually.
In plain terms
It's like a student learning new information every day, constantly updating their knowledge, instead of only studying for one big exam.
Why it matters
It enables AI systems to adapt to dynamic environments and process endless streams of data without needing retraining from scratch.
Learn one new AI thing every day.
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