Use explicit programming to solve problems (rule-based methods) For a large amount of unknown labeled data, divide the data into multiple categories according to the intrinsic similarity of the data (clustering) In a task, try to let the learner automatically help a small amount of labeled data to train the model directly on a large amount of unlabeled data (semi-supervised learning) The rules are automatically learned by the machine (machine learning)