摘要
海量数据时代让统计学习已成为许多科学领域及市场研究、金融学等商科领域热门的工具,大学生拥有大数据统计学习技能是非常必要的。通过通识实验课“大数据统计分析与机器学习”让不同专业的学生掌握基本的数据建模,分析及预测能力,识别获取有价值的信息,解决各个专业的难题,有利于培养学生科学思维与创新能力。采用不同的实验模块来满足多专业多需求的学生,让学生可以进行根据自己的专业或兴趣进行选择实验模块,增加开放式实验模块,更加适合不同专业的学生。
In the era of massive data,statistical learning has become a popular tool in many scientific fields,market research,finance and other business fields.It is necessary for college students to have statistical learning skills.Through the interdisciplinary general experimental course“Statistical analysis of big data and machine learning”,students in different majors can master the basic data modeling,analysis and prediction ability,identify and obtain valuable information,solve the difficult problems of various majors,and help to cultivate students scientific thinking and innovation ability.This course selects different experimental modules to meet the needs of multi-disciplinary students,so that students can choose experimental modules according to their own majors or interests,which are more suitable for students of different majors.
作者
刘艳
吕爱平
翁志萍
张敬
LIU Yan;Lü Aiping;WENG Zhiping;ZHANG Jing(School of Life Science and Technology,Tongji University,Shanghai 200092,China)
出处
《实验室科学》
2021年第1期107-109,共3页
Laboratory Science
基金
同济大学第十三期实验教改项目(项目编号:2000104072)
同济大学长青系列精品课程(项目编号:2000104068)。
关键词
大数据
通识实验
统计学习
机器学习
big data
general experiment course
statistical learning
machine learning
