# COMS 4772 Advanced Machine Learning (Fall 2014)

*Time & venue*: Wednesday 4:10–6:00 PM (venue TBD)

*Instructor*: Daniel Hsu

*Office hours*: TBD

*TA office hours*: TBD

*E-mail*:
d...@cs.columbia.edu

The topic of this course is TBD, but it will likely either be (i) similar to last fall's course, or (ii) about online learning and optimization.

In any case, the prerequisites for the course will include the following:

- machine learning (e.g., COMS W4771),
- algorithms (e.g., CSOR W4231),
- linear algebra (e.g., MATH V2020),
- multivariable calculus (e.g., MATH V110{1,2,3,4} or MATH V120{7,8}), and
- probability theory (e.g., STAT W4109 or SIEO W4150).

You should be comfortable with both analyzing and evaluating algorithms, writing clear and concise proofs, and deriving and interpreting analytic approximations. There may also be a programming component to the coursework, so you should be well-versed in and have regular access to a modern programming environment.