Application and Practice of Bayesian Algorithm in Experimental Teaching of Applied Mathematics

Since the 21st century, people have made great progress in the research of artificial intelligence. As an important method to express uncertain knowledge, Bayesian network has become one of the hot spots and important achievements in artificial intelligence research. Building an effective Bayesian network structure is also the basis and core of learning and applying Bayesian network. This research aims to introduce the application of Bayesian algorithm (BA) in mathematics teaching. BA can be used to supplement or replace the standard learning method of mathematics. In order to enable students to learn more effectively, teachers need to know which methods are effective and how to apply these methods to improve students' learning. This paper aims to apply Bayesian method to experimental learning environment. The study provides findings, conclusions and recommendations.