Figure 2.

Classifications of machine learning. Supervised learning uses labeled datasets to categorize the data, while unsupervised learning does not have labeled datasets, using patterns and relationships in the data to create categories. Reinforcement learning uses iterative feedback loops to teach the algorithm. DL utilizes representation layers in a neural network to increase abstraction of the data, and employs techniques from supervised, unsupervised, and reinforcement learning.