Statistical Machine Learning (W4400) • Spring 2014

This class provides an introduction to Machine Learning and its core algorithms.

Course Slides

Here is the complete set of course slides (version: 1 May) as a single file.

Teaching Assistants

Lu Meng (lumeng@stat.columbia.edu)
Office hours: Tue 5:30-7:30pm, 1025 SSW (tenth floor, Department of Statistics)
Jingjing Zou (jingjing@stat.columbia.edu)
If you have questions on how your homework was graded, please address them to Jingjing.

Homework

[ 1 ] [ 2 ] [ 3 ] [ 4 ] [ 5 ] [Digit data] [fakedata.R] [Histogram data]

Syllabus

There will be five or six homework assignments; you will usually have two weeks to complete each homework. The final grade will be computed as

40% homework + 30% midterm + 30% final exam

The midterm will cover the material of the first half of the class. The final will cover only the material covered after the midterm; you will not have to repeat everything all over again.