Active Learning
Active Learning is a machine learning approach where the algorithm intelligently queries a user or oracle to label new data points. Instead of labeling all available data, the model selects the most informative unlabeled examples, which minimizes the amount of manual labeling efforts needed to achieve desired performance. This is particularly useful when data labeling is expensive or time-consuming.
Imagine a curious student who only asks the teacher questions about the most confusing concepts, rather than re-reading the entire textbook.
It significantly reduces the cost and effort of data labeling, accelerating the development of accurate models in data-scarce or high-cost labeling environments.
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