**Active learning is a special case of machine learning in which the learning algorithm can interactively query the user (or some other information source) to label new data points with the desired output.**In active learning, the algorithm actively selects a subset of examples from the pool of unlabeled data to label next. The basic belief behind the concept of active learning algorithms is that a machine learning algorithm may achieve higher accuracy with a smaller number of training labels if it is allowed to select the data it wants to learn from.