“机器学习”是人工智能的核心研究领域之一， 其最初的研究动机是为了让计算机系统具有人的学习能力以便实现人工智能，因为众所周知，没有学习能力的系统很难被认为是具有智能的。“数据挖掘”和“知识发现”通常被相提并论，并在许多场合被认为是可以相互替代的术语。据库界提供的技术来管理海量数据。

因为机器学习和数据挖掘有密切的联系，受主编之邀，本文把它们放在一起做一个粗浅的介绍。-" Machine learning"　is the core research areas of artificial intelligence, its initial research motivation is to enable the computer system with a person' s ability to learn in order to achieve artificial intelligence, it is well known, there is no ability to learn the system can hardly be considered a smart . " Data mining"　and " knowledge discovery"　is often compared, and in many cases be considered as substitutes for one term. According to library community to provide technology to manage the vast amounts of data. Because of machine learning and data mining are closely linked, was invited by the editor of this paper, put them together to make a superficial introduction.