Teaching Reform and Practice Based on Machine Learning to Solve Practical Problems

This paper puts forward the teaching reform and practice of building mathematical experiments based on machine learning to solve practical problems, making the teaching content realistic, introducing mathematical modeling and mathematical experiments into the mathematics curriculum, and changing the previous teaching mode of simply teaching the theoretical system of knowledge, so that students can clearly know where knowledge comes from and where it is applied. Emphasize the practical significance of book knowledge rather than just how to calculate. At the same time, by teaching students to use Matlab and other software for numerical calculation, some complex calculations can be fully realized with the help of software efficient and accurate solutions. Update the teaching content, teaching links, teaching methods and teaching means, comprehensively improve the teaching effect, and cultivate high-quality applied talents with strong social adaptability and competitive ability.