Definition
A training approach in which a learning system selects the examples for which obtaining labels would be most useful.
Distinguish it from nearby terms
Ordinary supervised learning accepts a labeled dataset as given. Active learning makes selection of the next examples to label part of the learning process.
Check your understanding
Active learning is most useful when unlabeled examples are plentiful but expert labeling is scarce or expensive.