摘要
"机器学习"是人工智能方向研究生课程体系中的最重要基础课程之一。本文以研究生"机器学习"课程的特点为基础,结合课程教学组的实际教学实践经验,分析了该课程在实际教学中存在的问题,并从教学内容的安排、教学手段的改进、实践能力的培养等几方面对该课程的教学改革进行了探讨,倡导主动学习,线上线下互动学习的教学模式,提升该课程的教学质量和学习效果。
"Machine Learning" is one of the most important basic courses in the postgraduate course system of artificial intelligence.Based on the characteristic of the "Machine Learning" course for postgraduate and the practical teaching experience of our teaching group,we summarize the problems existing in current teaching model of "Machine Learning",and discuss teaching reform issues about the arrangement of teaching content,the improvement of teaching methods,the training of practical ability.In this article,we propose the teaching model of active learning,online and offline interactive learning to improve the teaching quality and learning effect.
作者
胡春龙
吴陈
左欣
陈建军
王长宝
HU Chun-long;WU Chen;ZUO Xin;CHEN Jian-jun;WANG Chang-bao(School of Computer Science,Jiangsu University of Science and Technology,Zhenjiang,Jiangsu 212003, China)
出处
《教育教学论坛》
2019年第10期99-100,共2页
Education And Teaching Forum
基金
2015年江苏省科技厅批准的自然科学基金青年项目"基于多任务学习的年龄特征提取与分类方法研究"(BK20150471)资助
关键词
机器学习
研究生教学
教学改革
Machine Learning
postgraduate teaching
teaching reform