Active learning in machine learning is a powerful way for computers to learn. It works by having a computer program that can ask questions as it learns. The computer program can ask questions that help it figure out what is important in the data so it can learn better. It's like having a human teacher that can ask questions and get the right answer, but without the need for a human. Active learning can help computers learn faster and more accurately than regular machine learning algorithms.