#Machine Learning

A field of science that gives computers the ability to learn from data without being explicitly programmed. It is based on mathematical methods such as statistics, optimization, and linear algebra, and has a wide range of applications including image recognition, natural language processing, and recommendation systems. The blog analyzes its learning mechanism from a philosophical perspective, deeply exploring its connection with 'metacognitive learning'.