Design of sports multimedia teaching platform based on machine learning

Due to the rapid development of multimedia technology, communication technology and information technology in China, scholars in the field of education gradually focus their research on new educational models, which are represented by educational technology and can use multimedia to present internal forms, such as physical education. Therefore, under this background, this paper deeply develops a kind of PE teaching platform based on multimedia network system by combining modern communication technology, multimedia technology, computer technology, network technology and other mature college campus networks. Firstly, this paper investigates the design of machine learning decision tree algorithm and random forest algorithm and discusses the application of machine learning in multimedia feature extraction and data processing; Then according to the actual needs, the structure of sports multimedia teaching platform is constructed, the relevant functions are analyzed, and the results of QoE multimedia experiment are integrated and tested. After the establishment of sports multimedia teaching platform, this paper uses this platform to practice, so as to analyze the teaching skills of physical education teachers in sports multimedia teaching platform, evaluate students' satisfaction and discuss the application of multimedia teaching platform in sports teaching and the performance and influencing factors of the system with students. The experimental results show that the sports multimedia teaching platform proposed in this paper has a certain role in promoting the improvement of college students' physical education curriculum performance, so it is worth popularizing.