Inductive Learning

Inductive learning is a machine learning method that involves deriving general rules or models from specific instances through observation. Its core objective is to extract patterns and regularities from a limited dataset to achieve effective prediction and classification of unknown data. Inductive learning has broad application value in fields such as data mining, natural language processing, and computer vision, enabling businesses to discover potential knowledge from large amounts of data, optimize the decision-making process, and improve business efficiency.