Machine learning course is the core basic course of the graduate students in the direction of artificial intelligence, and its teaching effect directly affects the quality of postgraduate follow-up study. By investigating and analyzing the problems in the current teaching of machine learning courses, this paper puts forward the reform and practice of teaching mode of the course from the aspects of rational arrangement of teaching content, reform of teaching methods and improvement of examination methods, advocates problem-driven teaching methods and shared teaching methods, and makes use of abundant network teaching resources to expand the traditional classroom teaching model into multi-channel, multi-form seminar-type, inquiry-based interactive teaching mode. It is hoped that the teaching quality of this course can be effectively improved. ...
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