43：课程简介英文版--商务数据分析.docx

CourseintroductionofBusinessdataana1ysisCourseName：Businessdataana1ysisCourseCode：Prerequisites:Machine1earningFo11ow-upCourses:NoCredits：3.0Tota1CreditHours：481ectureHours：40ExperimentHours：0ProgrammingHours：8PracticeHours：0Schoo1：Schoo1ofBusinessTargetM<yor:BusinessmanagementCourseintroduction"Businessdataana1ysis1'isaprofessiona1e1ectivecurricu1umformajorsineconomicsandmanagement.Throughtheteachingofthiscourse,studentscanmasterthebasicprincip1esofdeep1earning,convo1utiona1neura1networks,recurrentneura1networks,generativeadversaria1networks,attentionmechanismsandotherbasicmethodsandtheirtypica1app1icationfie1ds,andusemachine1earningopensourcep1atformTensorF1owtoachievedeep1earningapp1iedinmanytypica1fie1dssuchassecuritiesforecasting,soundqua1ityeva1uation,e1ectronicrecommendation,targetdetection,andsocia1networksentimentana1ysis,thecoursep1aysanimportantro1easa1inkbetweentheoryandpractice.Payattentiontothecombinationofqua1itativeana1ysisandquantitativeana1ysis,strengthenpractica1training,and1ayagoodfoundationforstuden1s,subsequent1earning,practiceandfutureworkanddeve1opment.Referencemateria1s1. ZhaoWeidong,Dong1iang.Machine1earningM.PostandTe1ecomPress,2018.2. ZhaoWeidong.Machine1earningcasecombatM.PostandTe1ecomPress,2019.3. ZhaoWeidong,Dong1iang.Pythonmachine1earningcombatcaseM.TsinghuaUniversityPress,2019.Author：HongVVei