Design and Exploration of Machine Learning Practice Course Teaching Based on Gitee and Subject Competition Task Driven

Abstract

Abstract: Aiming at the new goal and demand of artificial intelligence-related talents training in vocational education colleges, this paper analyzes the shortcomings and problems existing in practical teaching of machine learning. Design and develop practical course content through the concept of subject competition task driven. In addition, combining with the virtual teaching platform of Gitee, the organization and teaching of practical course content are carried out to innovate the design method of practical course, improve the teaching quality of machine learning practical course and enrich the methods of practical teaching design.

Key words: Machine learning, Practical teaching, Competition driven, Gitee platform, Innovative practice, Teaching reform

CLC Number:

G642

XIA Ji'an. Design and Exploration of Machine Learning Practice Course Teaching Based on Gitee and Subject Competition Task Driven[J]. The Theory and Practice of Innovation and Enntrepreneurship, 2024, 7(2): 37-40.

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