应用导向下的“统计学习方法”教学探索与实践  

作　　者：王昕[1] 

机构地区：[1]北京信息科技大学,北京100192

出　　处：《科技风》2024年第18期127-129,共3页

基　　金：北京信息科技大学教学改革项目(2023JGSZ)。

摘　　要：“统计学习方法”是以数据为研究对象、以计算机及网络为平台、通过统计理论建立模型并对数据进行分析和预测的学科,该课程的学习有助于提升学生的实践意识和应用意识,满足大数据时代下对统计数据分析人才的需求。本文在大数据环境下,以应用人才培养为导向,以统计数据分析方向的学生为服务对象,深入挖掘“统计学习方法”在专业课程体系中的地位和作用,构建了适应于数据分析背景的课堂教学和实验教学体系,有助于提升学生的创新思维和实践能力,培养多元化创新型人才。Statistical learning methods are a discipline that focuses on data as the research object,uses computers and networks as platforms,establishes models through statistical theory,and analyzes and predicts data.The study of this course helps to enhance students'practical and application awareness,and meets the demand for statistical data analysis talents in the era of big data.This article,guided by the cultivation of applied talents in the big data environment and serving students in the field of statistical data analysis,delves into the position and role of statistical learning methods in the professional curriculum system.It constructs a classroom teaching and experimental teaching system suitable for the background of data analysis,which helps to enhance students'innovative thinking and practical abilities,and cultivate diversified innovative talents.

关 键 词：统计学习 数据分析 机器学习算法 大数据 

分 类 号：O213.9[理学—概率论与数理统计]