 Computational learning theory

Computational learning theory is a subfield of artificial intelligence and machine learning that focuses on the study of algorithms that learn from and make predictions or decisions based on data. It provides a theoretical framework to understand the capabilities and limitations of learning algorithms, often examining issues such as the complexity of learning tasks, the types of data, and the models employed for prediction.