Week 1 (Jan 9-13) | Read Chapter 1: Overview of Data Mining | Lecture 1: Introduction | |
Get Familiar with Software: Intrudction to R | R Brief Intro, R Guide For Reginners | ||
Supplementary Reading: Data mining and statistics: what is the connection? Friedman (1997) | Homework 1. Assigned on Jan 15, due on Jan 29. | ||
Week 2-3 (Jan 14-27) | Read Chapter 2: Theory of Supervised Learning | Lecture 2: Statistical Decision Theory (I) | |
Lecture 3: Statistical Decision Theory (II) | |||
Week 4 (Jan 28-Feb 3) | Read Chapter 4.2-4.4: Linear Classificaton Methods for Binary Problems | Lecture 4: Binary Classification (I): Basics | |
Homework 2 Assignment. Assigned on Jan 29, due on Feb 12. | |||
Week 6 (Feb 4 - Feb 10) | Supplementary Reading: Choosing Between Logistic Regression and Discriminant Analysis, Press, S. and Wilson, S. (1978) | Lecture 5: Binary Classification (II): Logistic Regression and Discriminant Analysis | |
Curse of Dimensionality; Linear Binary Classification for High Dimensional Problems | Lecture 6: Binary Classification (III): Extension to High Dimensional Classification Problems | ||
Week 4 (Feb 11 - Feb 17) | Read Chapter 4.1: Nonlinear Classification Methods | Lecture 7: K nearest neighbor (Knn) methods | |
Topic: Introduction to Multiclass Classifiction | Lecture 8: Multiclass Classification | ||
Homework 3 Assignment.Assigned on Feb 12, due on Feb 26 | |||
Week 5 (Feb 18 - Feb 24) | Topic: Nonlinear Discriminant Analysis | Lecture 9: QDA and RDA | |
Supplementary Reading: LDA for improved large vocabulary continuous speech recognition | Lecture 10: PCA | ||
Week 6 (Feb 25 - March 3) | Topic: Linear Regression Models | Lecture 11: Linear Regression | |
Read Chapter 3 : Linear Regression, Supplementary Reading: Linear Model Theory |