This article discusses the different types of AI algorithms and their use cases. Supervised learning algorithms are used for tasks such as classification and regression problems, while unsupervised learning algorithms are used for tasks such as clustering, dimensionality reduction and anomaly detection. Reinforcement learning algorithms are used for tasks like game playing, robotics and autonomous vehicles. Quality data testing is critical for the successful training of algorithms.
