机器学习是研究怎样使用计算机模拟或实现人类学习活动的科学，是人工智能中

Machine learning is the science of studying how to use computers to simulate or realize human learning activities. It is one of the most intelligent and cutting-edge research fields in artificial intelligence. Since the 1980s, machine learning as a way to realize artificial intelligence has aroused widespread interest in the artificial intelligence community. Especially in the past ten years, the research work in the field of machine learning has developed rapidly, and it has become a related direction of artificial intelligence. One of the important courses for graduate students. <br>Machine learning is not only used in knowledge-based systems, but also widely used in many fields such as natural language understanding, non-monotonic reasoning, machine vision, and pattern recognition. Whether a system has the ability to learn has become a sign of whether it has "intelligence". It is a multi-field interdisciplinary subject, which involves computer science, probability and statistics, function approximation theory, optimization theory, cybernetics, decision theory, algorithm complexity theory, experimental science and many other disciplines. Therefore, graduate students need to have a solid foundation in mathematical theory and programming

Machine learning is a science that studies how to simulate or realize human learning activities using computers, and it is one of the most intelligent and cutting-edge research fields in artificial intelligence. Since the 1980s, machine learning, as a way to realize artificial intelligence, has attracted wide interest in the field of artificial intelligence, especially in the past ten years, the research work in the field of machine learning has developed rapidly, it has become one of the important courses of graduate students in the direction of artificial intelligence.<br>Machine learning is not only used in knowledge-based systems, but also in many fields such as natural language comprehension, non-monotonic reasoning, machine vision and pattern recognition. Whether a system has the ability to learn has become a sign of "intelligentness". It is a multi-disciplinary interdisciplinary subject, which involves computer science, probability statistics, function approximation theory, optimization theory, control theory, decision theory, algorithm complexity theory, experimental science and many other disciplines. Therefore, graduate students have a solid mathematical theoretical basis and programming basis.

Machine learning is a science that studies how to use computer to simulate or realize human learning activities. It is one of the most intelligent and cutting-edge research fields in artificial intelligence. Since the 1980s, machine learning, as a way to realize artificial intelligence, has aroused extensive interest in the field of artificial intelligence. Especially in the past ten years, the research work in the field of machine learning has developed rapidly, and it has become one of the important courses for graduate students in related fields of artificial intelligence.<br>Machine learning is not only applied in knowledge-based systems, but also widely used in many fields such as natural language understanding, nonmonotonic reasoning, machine vision, pattern recognition and so on. Whether a system has the ability of learning has become a sign of "intelligence". It is an interdisciplinary subject, involving computer science, probability and statistics, function approximation theory, optimization theory, control theory, decision theory, algorithm complexity theory, experimental science and other disciplines. Therefore, it is necessary for graduate students to have a solid foundation of mathematical theory and programming<br>