Supervised learning

In the field of Artificial Intelligence (AI), supervised learning is one of the three types of learning implemented by artificial neural networks, the other two being unsupervised learning and reinforcement learning. The most commonly used machine learning technique, supervised learning involves providing the computer with a learning database from a classification model and labeled examples (e.g., the image of a tree is associated with the “tree” label). The computer can thus end up identifying elements by referring to the characteristics of thousands or even millions of elements that make up its database. In other words, in this type of learning, the computer records the answer it must give.