面向大数据人才培养的机器学习课程建设

Big Data Talent Cultivation Oriented Machine Learning Curriculum Construction

摘要: 机器学习课程对大数据人才培养具有重要的意义。文章针对课程教学中存在的问题，提出了面向大数据人才培养的机器学习课程建设方案。方案通过构建“理论与实践深度融合”的课程群体系，打造“学生中心、产出导向”的特色教学方法，优化“分层评价、课赛一体”的课程考核机制，循序渐进地培养学生在大数据分析方面的实践创新能力。最后通过专业学生在高水平大数据竞赛中的优异成绩验证了课程建设的成效。

Abstract: Machine learning courses play an important role in big data talent cultivation. To address prob-lems in machine learning teaching, a big data talent cultivation oriented machine learning curri-culum construction scheme is proposed. We build a theory and practice deeply integrated curri-culum system, establish a set of teaching methods featured with “student centered, output based” educational philosophy, and improve the “hierarchical and course-competition integrated” as-sessment mechanism, which help students build their practical and innovative ability in big data analysis. Finally, the effectiveness of machine learning curriculum construction is verified by the achievements of students in a variety of advanced big data related competitions.