因此，该课程的一个重要特点是学生来源广泛，其专业可能分布在计算机、自动

Therefore, an important feature of this course is that the source of students is wide, and its majors may be distributed in computer, automation, applied mathematics and other majors, which will bring some teaching difficulties. On the one hand, most of the content of machine learning courses require a certain foundation in mathematics. Mathematics students with good mathematical foundations can adapt to the course faster, but for many computer students, theoretical derivation is difficult, so they pay more attention. The practicality of the algorithm, but if the mathematical theory behind the algorithm is skipped in the course teaching, the course will not reach the required depth. This is a dilemma. And because this course and other courses have different degrees of overlap, how to choose the teaching content reasonably so that students can master the most basic machine learning principles and methods within the limited class time is also a crucial issue. On the other hand, the current classroom teaching of machine learning courses is based on multimedia as the medium of teachers teaching and listening to students. Under this teaching mode, students passively listen to lectures. Students may feel that the courses are boring and the classroom atmosphere is dull and monotonous and cannot be maintained. Classroom attention, which in turn affects teaching efficiency and effectiveness

Therefore, an important feature of this course is the wide range of students, its majors may be distributed in computer, automation, applied mathematics and other majors, which will bring some teaching difficulties. On the one hand, most of the contents of machine learning courses need a certain mathematical foundation, mathematics students with a better foundation of mathematics to adapt to the course is relatively fast, but for many computer students, theoretical deduction has a certain degree of difficulty, they pay more attention to the practicality of the algorithm, but if the course skips the mathematical theory behind the algorithm will make the course teaching not to reach the due depth, this is a dilemma. And because the course and other courses have different degrees of intersection, how to choose the teaching content reasonably, in a limited course time to enable students to master the most basic machine learning principles, methods, is also a crucial problem. On the other hand, the classroom teaching of the current machine learning course is mainly the form of multimedia-mediated teachers teaching students to listen to lectures, this mode of teaching students passively listen to lectures, students may feel that the course is boring, the classroom atmosphere is dull and monotonous, can not maintain the classroom attention, and thus affect the efficiency and effectiveness of teaching.

Therefore, an important feature of the course is that students come from a wide range of specialties, such as computer, automation, applied mathematics and so on, which will bring some teaching difficulties. On the one hand, most of the contents of machine learning courses need a certain mathematical foundation. Students majoring in mathematics with a good mathematical foundation can adapt to the course faster. However, for many computer majors, theoretical derivation is difficult. They pay more attention to the practicability of algorithms. However, if the course is taught to skip the mathematical theory behind the algorithm, it will make the course teaching It's a dilemma if we can't reach the depth we should. Moreover, due to the different degree of intersection between this course and other courses, how to reasonably select teaching content and enable students to master the most basic principles and methods of machine learning in limited class hours is also a crucial issue. On the other hand, the current classroom teaching of machine learning course is mainly in the form of multi-media teachers' teaching and students' listening. Under this teaching mode, students may feel that the course is boring and boring, the classroom atmosphere is dull and monotonous, and can't maintain the classroom attention, thus affecting the teaching efficiency and effect