机器学习是计算机科学、统计学、信息论、 控制论等多学科的交叉，与人工智

Machine learning is the intersection of computer science, statistics, information theory, cybernetics and other disciplines. It is developed together with artificial intelligence, pattern recognition, data mining and other disciplines. There are different degrees of natural overlap and overlap in content. It also has its own subject characteristics, has its own system in each research direction, and is constantly developing new methods and theories

Machine learning is a multidisciplinary intersection of computer science, statistics, information theory, control theory, and other disciplines such as artificial intelligence, pattern recognition, data mining and so on, there are different degrees of natural cross and overlap in content, but there are its own discipline characteristics, in each research direction and self-contained system, and constantly develop new methods and theories.

Machine learning is computer science, statistics, information theory The interdisciplinary intersection of cybernetics and other disciplines, developed together with artificial intelligence, pattern recognition, data mining and other disciplines, has different degrees of natural intersection and overlap in the content, but also has its own discipline characteristics. In each research direction, it has its own system, and constantly develops new methods and theories