Exploring the Path of Cultivating High-quality Applied Talents in the Context of New Engineering based on Intelligent Computing and Machine Learning Assistance
DOI:
https://doi.org/10.12694/scpe.v26i4.4463Keywords:
Machine learning, Applied talents, Cultivation pathAbstract
Since the development of domestic research on applied talent cultivation model is slow and the related theories are not perfect, further exploration and research are needed. Therefore, this paper uses machine learning and data mining technology to establish a high-quality applied talents training path generation model, and it mainly analyzes the shortcomings of current universities in training talents and the differences between applied talents and other types of talents through data mining, and finally uses the training path generation model to establish the ”one three-body Finally, the training path generation model is used to establish the ”one three bodies” applied talents training model.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Chong Cheng, Yusheng Lin

This work is licensed under a Creative Commons Attribution 4.0 International License.