Exploration on Teaching Modes of Machine Learning Course for Professional Degree Postgraduates with Digital Empowerment

Machine learning is one of the core courses in artificial intelligence. However, the current teaching mode for machine learning courses is primarily designed for universal purpose and offline classes, which lacks integration with industry demands and cutting-edge academic advancement, as well as effective use of digital learning resources. A a result, it is difficult to meet the cultivation requirements for professional degree graduate students and excellent engineers. In this paper, we explore a teaching mode of machine learning course s with digital empowerment, tailored for professional degree postgraduates. Specifically, it consists of the following critical components: 1) updating current teaching content to reflect both academic frontiers and industrial demands; 2) reforming practical training via fine-grained rearrangement of knowledge points; 3) enriching the curriculum with real-word application cases from industrial practice. Finally, we facilitate online-offline blended teaching by developing and combing digital learning resources.