Importance of including practical machine learning application in the universities' curriculum

In this paper, we would like to discuss making the curriculum about practical machine learning application for university students. They increasingly motivated to learn about machine learning by the industrial request and their career plan. Applications of machine learning are released quickly, and the curriculum of university is insufficient in correspondence. We focus on an importance of including practical machine learning application in the universities' curriculum and discuss these issues in this paper. Specifically, we provide a perspective about the necessary in the front end and the back end technologies. Machine learning technology should be blended into the back end system, and the front end system like mobile interface is very important point as the quality of service for the user. Today, students necessary learn a lot of learning contents about the quality of service with amount of time. The issues at universities are the fusion of new topics and the existing curriculum and the economic costs balance. Also discussion is necessary for social cooperation with the industries. The method of STEM education is important for such the practical machine learning application curriculum. We discuss the examples and effects in Japan.