Active Learning

A technique in machine learning where models interactively query a user or information source to label new data points, enhancing learning efficiency. It involves selecting the most informative data points for labeling, querying an expert for annotations, and updating the model with this new information. This approach reduces the need for large labeled datasets by focusing on the most valuable examples for improving model accuracy. Active Learning is especially useful when labeled data is scarce or costly, optimizing both the learning process and resource utilization.