Innovative Practice Exploration of"Machine Learning"based on Project-Driven
With the rapid development of artificial intelligence technology,the construction of new engineering disciplines has provided new challenges for the"Machine Learning"course.At present,many universities still adopt fixed teaching content and focus on a single teaching method in machine learning teaching,with simple course experiments and limited practical applications.The article proposes specific reform plans from four aspects:updating and iterating teaching content,innovating blended teaching models,inspiring course experiments,and conducting multi-dimensional assessments,in response to the problems of interdisciplinary and rapid technological updates,as well as emphasizing practical programming skills in machine learning courses,which result in unsatisfactory teaching outcomes and hinder the cultivation of innovative and technical talents.
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