Reinforcement Learning

Machine learning on data containing features and responses (labels) is usually called supervised learning, while machine learning on data containing only features without responses (labels) is usually called unsupervised learning. Supervised learning is a general ML method to develop an optimal ML model that correlates features to responses and the model should have high prediction accuracy and wide generalization power.