STA 450S/4000S
Statistical methods of data mining
Time: Wed
Fri
1:00 – 3:00
1:00 – 2:00
LM 158
LM 158
Instructor:
N. Reid
SS6002A
reid@utstat.utoronto.ca
978-5046
Course Web Page: www.utstat.utoronto.ca/reid/450S05.html
Office Hours Thu
Fri
3:00 – 4:00
2:00 – 3:00
Pre-requisite: STA 302H (regression) or CSC 411 H (data mining)
Course Text: Elements of Statistical Learning
Hastie, Tibshirani & Friedman
Springer – Verlag, NY
Grading Scheme:
Syllabus:
Computing:
Regular Attendance (honour system) 10%
Regular HW (3)
60%
Project (due on last class)
30%
We will cover Chapters 3 and 4, parts of 5 and 6, 7, and selected topics
from 9, 10 and 14. I will follow the book fairly closely, and provide
supplemental material as needed.
I will use and help with R, available on utstat and Cquest. Splus, also
available there, works almost the same. You are welcome to use another
program such as Matlab if you prefer.