Teaching Reform of Undergraduate Courses in Colleges and Universities Based on Machine Learning and Improved SVM Algorithm

Abstract

In order to deeply understand the current situation, problems, and satisfaction of undergraduate education courses in Contemporary Colleges and universities, and further improve the teaching level of professional courses, first, this paper makes an in-depth investigation on the teaching status and satisfaction of undergraduate education majors in two colleges and universities. The results show that the teaching and satisfaction of undergraduate education majors are at a medium level (m = 2.27). On this basis, combined with the existing problems, combined with the SVM parameter optimization algorithm of improved machine learning and particle swarm optimization algorithm, this paper puts forward the optimization strategy of undergraduate education curriculum teaching reform.