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Differentiate between supervised, unsupervised, and reinforcement learning in Artificial Intelligence

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Differentiation Based on Supervised Learning Unsupervised Learning Reinforcement Learning

Features The training set has both predictors and predictions. The training set has only predictors. It can establish state-of-the-art results on any task.

Algorithms

Linear and logistic regression, support vector machine, and Naive Bayes

K-means clustering algorithm and dimensionality reduction algorithms Q-learning, state-action-reward-state-action (SARSA), and Deep Q Network (DQN)

Uses Image recognition, speech recognition, forecasting, etc. Preprocessing data, pre-training supervised learning algorithms, etc. Warehouses, inventory management, delivery management, power system, financial systems, etc.

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