How does active learning work?

Can you explain how active learning works in machine learning?

Active learning is a technique where the model selects the most informative data points to learn from, improving efficiency.

What are the benefits of using active learning?

The benefits include reduced labeling costs, improved model accuracy, and faster training times by focusing on critical data.

Can you give an example of active learning in practice?

Sure! In image classification, a model might query a human to label only the most uncertain images, optimizing the learning process.

Are there any challenges associated with active learning?

Yes, challenges include selecting the right data points, potential bias in queries, and the need for a reliable oracle for labeling.