Time: Tuesday and Thursday, 6:10PM to 7:25PM

Location: 614 Schermerhorn

Book: An Introduction to Statistical Learning by James, Witten, Hastie and Tibshirani, The Elements of Statistical Learning by Hastie, Tibshirani and Friedman, Data Mining with R by Torgo (readings from Chapter 1)

Syllabus

Lecture 1 Lecture 2 Lecture 3 Lecture 4 (not given) Lecture 5 Lecture 6 Lecture 7 Lecture 8 Lecture 9 Lecture 10 Lecture 11 Lecture 12

Homework 1 Homework 1 Demo Script Homework 2 Homework 3 HW3 Demo Script 1 HW3 Demo Script 2

Time: Tuesday and Thursday, 6:10PM to 7:25PM

Location: 501 Schermerhorn

Office Hours: 10:00AM to 11:50AM, Wednesday, 1009 SSW

TA: Feihan Lu, 2:30PM to 4:30PM, Monday, 10th Floor Lounge SSW

TA (Section 2): Gustavo Lacerda, 4:10PM to 6:00PM, Wednesday, 207 Math

Professor (Section 2): Sid Dalal, 3:40PM to 4:40PM, Friday, 614 Schermerhorn

Book: An Introduction to Statistical Learning by James, Witten, Hastie and Tibshirani, The Elements of Statistical Learning by Hastie, Tibshirani and Friedman, Data Mining with R by Torgo (readings from Chapter 1)

Syllabus (updated 9/3/13)

Topics in
Advanced Statistics: Statistical Methods for Energy and
Environmental Problems: G8325

Time: Wednesday, 2:10PM to 4:00PM

Location: 1025 SSW

Syllabus (updated 8/26/13)

Lecture 1

Data
Mining: W4240

Time: Tuesday and Thursday, 6:10PM to 7:25PM

Location: 310 Fayerweather

TA: Gustavo Lacerda, Yunxiao Chen

Book: The Elements of
Statistical Learning by Hastie, Tibshirani and
Friedman, Data Mining with R
by Torgo (readings from Chapter 1)

Applied
Data Mining: W3026/W4026

Time: Monday and Wednesday, 8:40AM to 9:55AM

Location: 420 Pupin

TA: Zach Shahn

Book: Data Mining: Practical
Machine Learning Tools and Techniques, 3rd Edition by
Witten, Frank and Hall

Copyright 2013 by Lauren Hannah