
STA414S/2104S: Statistical Methods for Data Mining and Machine LearningJanuary  April, 2009
Apr. 7, 2009: Now that you have seen the Final Hw, several people are asking to do a project instead. Not fair! But also, the relative difficulty of the two options will be considered in the grading.Apr.2, 2009: Final HW Due on April 16, before 5 p.m.Meets in Sid Smith, SS1088, Tuesday 122, Thursday 121.
Course Information
Office Hours: Tuesdays, 34; Thursdays, 23; or by appointment.
Textbook: Hastie, Tibshirani and Friedman. The Elements of Statistical Learning.
SpringerVerlag.
Course evaluation: Three regular homework sets: 60%. Final homework or project: 40%. For the final homework you will be expected to work alone, on all material related to the homework. It will be handed out on March 31, and due on April 16. For the three regular homework sets you are welcome to discuss the material with others, but submitted work must be your own, and you must acknowledge all sources for code. Graduate students registered under STA2104S may submit a project in lieu of the final homework: this will be a review of a topic not covered in class, drawing on textbook and journal sources. Suggestions for topics will be given during the course. Computing: I will refer to, and provide explanations for, the R computing environment. You are welcome to use some other package if you prefer. There are many online resources for R, including:
Material from lectures
