机器学习是一门多领域交叉学科，涉及概率论、统计学、逼近论、凸分析、算法复杂度理论等多门学科。专门研究计算机怎样模拟或实现人类的学习行为，以获取新的知识或技能，重新组织已有的知识结构使之不断改善自身的性能。
它是人工智能的核心，是使计算机具有智能的根本途径。(Machine learning is an interdisciplinary subject, involving probability theory, statistics, approximation theory, convex analysis, algorithm complexity theory and so on. The purpose of this study is to study how computers simulate or realize human learning behaviors in order to acquire new knowledge or skills and reorganize the existing knowledge structure to improve its performance.

It is the core of artificial intelligence and the fundamental way to make computers intelligent.)