ISyE 7406 , Data Mining and Statistical LearningSpring 2009, MW1:35–2:55 pm, IC 207Professor:Kwok TsuiOffice:435Phone:894-2311Email:[email protected]Website:www.isye.gatech.edu/people/faculty/KwokTsuiOffice Hours:MW 11:00–12:00 pm; by appointmentText:The Elements of Statistical Learningby Hastie, Tibshirani, and Friedman, SpringerGrading:Homework 10 %; Midterm 30 %; Project 60 %.Course OutlineTopicChaptersIntroduction to Data Mining1Supervised Learning2Linear Methods for Regression3Linear Methods for Classification4Model Assessment and Inferences7 & 8Trees and Related Methods9Neural Networks & SVM11 & 12Forecasting MethodsnotesUnsupervised Learning14Case StudiesnotesProjectAn important objective in this course is to relate what you learn to real life problems, whichwill be achieved by working on a class project. Before you start working on your project, you needto discuss with the instructor in advance and submit a one-page proposal for approval. You are
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