面向研究生的机器学习类课程实践改革研究  

Research on Practical Reform of Machine Learning Courses for Graduate Students

作　　者：敬超[1] 郑荣华[2] JING Chao;ZHENG Ronghua(School of Computer Science and Engineering,Guilin University of Technology,Guilin,Guangxi 541004;College of Foreign Studies,Guangxi Normal University,Guilin,Guangxi 541004)

机构地区：[1]桂林理工大学计算机科学与工程学院,广西桂林541004 [2]广西师范大学外国语学院,广西桂林541004

出　　处：《科教导刊》2024年第15期60-62,共3页The Guide Of Science & Education

基　　金：2021年广西学位与研究生教育改革课题(JGY2021096);2020年度广西高等教育本科教学改革工程项目(一般项目B类)(2020JGB211)。

摘　　要：随着日益增长的数据处理和分析需求,传统的数据处理模式已不再适用,人工智能(AI)应运而生。文章阐述了高校机器学习课程的建设情况,首先,以机器学习类课程教学为例阐述了人工智能融入教学的重要性;其次,结合西部某高校研究生机器学习类课程,分别说明了该课程的实施方案及细节,指出了课程实施过程中遇到的问题;然后,针对教学实践过程中遇到的问题,分别从形式、内容及实践多角度给出了解决方案;最后,总结指出机器学习类课程对于培养新一代人工智能技术人才的重要性。With the increasing demand for data processing and analysis,traditional data processing models are no longer applicable,and artificial intelligence(Al)has emerged.The article elaborates on the construction of machine learning courses in universities.Firstly,taking machine learning courses as an example,the importance of integrating artificial intelligence into teaching is explained;Secondly,based on the machine learning courses for graduate students at a certain university in the western region,the implementation plan and details of the course were explained,and the problems encountered during the course implementation were pointed out;Then,in response to the problems encountered in the teaching practice process,solutions were provided from multiple perspectives including form,content,and practice;Finally,the summary points out the importance of machine learning courses in cultivating the new generation of artificial intelligence technology talents.

关 键 词：机器学习 人工智能 研究生 课程及专业建设 

分 类 号：G643[文化科学—高等教育学]