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Development and Practice of Ideological and Political Education in Machine Learning Courses Based on Industry-Education Integration

Qingrong Zou, Jianxi Zhao

Abstract


With the rapid development of artifi cial intelligence technology, machine learning, as one of its core technologies, has been
widely applied in various industries. This article focuses on the background of industry-education integration and explores how to integrate
ideological and political education into machine learning courses, aiming to cultivate high-quality talents who not only master advanced
technologies but also have a sense of social responsibility. By analyzing the necessity of industry-education integration, specifi c practical
strategies for the ideological and political education construction of machine learning courses are proposed, and the eff ectiveness of these
strategies is verifi ed with case studies.

Keywords


Industry-Education Integration; Machine Learning; Ideological and Political Education; High-Quality Talents

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References


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DOI: http://dx.doi.org/10.18686/modern-management-forum.v8i6.13240

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