Types of Learning in Artificial Intelligence
Types of Learning:
The learning is divided into three types –
1. Unsupervised learning: It finds a model that matches a stream of input experiences and it can predict what new experience to expect.
2. Supervised learning: It classifies what category something belongs to after seeing some examples of things in each category or regression.
3. Reinforcement learning: The agent is rewarded for good responses and punished for bad ones. They can be analyzed in terms of decision theory, using concepts like utility. The mathematical analysis of machine learning algorithms and their performance is a branch of theoretical computer science known as a computational learning theory.