机器学习是一门多学科交叉专业，该领域的主要研究对象是人工智能，是人工智

Machine learning is a multidisciplinary specialty. The main research object in this field is artificial intelligence. It is one of the core courses in the postgraduate course system of artificial intelligence. Therefore, how to improve the teaching quality of machine learning courses has become a top priority weight. This article focuses on the problems existing in the actual teaching process of machine learning for graduate students, and combines the characteristics of machine learning courses to explore and research from the aspects of teaching content, teaching methods and practical training, and advocates problem-driven teaching methods and sharing teaching methods. Use domestic and foreign online learning resources and open source tools to stimulate students' interest in research and learning and improve teaching effects

Machine learning is a multidisciplinary cross-discipline, the main research object in this field is artificial intelligence, is the direction of artificial intelligence in the graduate curriculum system of one of the most core courses, so how to improve the quality of machine learning courses become a top priority. This paper focuses on the problems of the actual teaching process of postgraduate machine learning, and combines the characteristics of machine learning courses, explores and studies from teaching content, teaching methods and practice training, advocates problem-driven teaching methods and shared teaching methods, and uses domestic and foreign network learning resources and open source tools to stimulate students' interest in research and learning and enhance teaching results.

Machine learning is a multi-disciplinary interdisciplinary major. The main research object of this field is artificial intelligence, which is one of the most core courses in the graduate course system of artificial intelligence. Therefore, how to improve the teaching quality of machine learning course becomes the most important. This paper focuses on the problems existing in the actual teaching process of graduate students' machine learning, and combines with the characteristics of machine learning course, explores and studies the teaching content, teaching methods and practice training, advocates the problem driven teaching method and sharing teaching method, and uses the domestic and foreign network learning resources and open source tools to stimulate students' interest in research and learning and improve the teaching effect fruit