机器学习(Machine Learning, ML)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。(Machine learning (Machine Learning, ML) is a multidisciplinary interdisciplinary field, involving many disciplines, such as probability theory, statistics, approximation theory, convex analysis, algorithm complexity theory and so on. Specializing in how computers simulate or implement human learning behavior in order to acquire new knowledge or skills and reorganize existing knowledge structures so as to improve their performance continuously.)