Numerical Machine Learning
CS4803c & CS8113a
Fall 1998

This is http://www.cc.gatech.edu/classes/cs4803c_98_fall/


Sources of Data
Recognize handwritten zip codes
Reuters text categorization


Support Vectors


LSI sites

http://lsa.colorado.edu/
http://superbook.bellcore.com/~std/LSI.html
http://www.cs.utk.edu/~lsi/


SGI (Inventor graphics) cart pole code.
SUN cart pole code.


Matlab documentation (from a machine with access to the COC file system)

Use file://username@lennon.cc.gatech.edu/usr/local/matlab5.2/help/helpdesk.html to get remote access to the matlab documentation. You need an account on lennon so you can log in. Replace "username" with your lennon account.

Useful documentation:

Matlab time series demo

Stock data


C2000 captured lectures.

Log in with the following information: Logging in helps us do statistical studies of how many students use which combination of features. If you prefer to remain anonymous, log in with username guest and type return for the password.


Instructor: Chris Atkeson

The best way to contact me is to use email:
cga@cc.gatech.edu
Office hours will be scheduled in the near future.

I am interested in numerical machine learning for
future computing environments
and
intelligent systems and robotics.

There is no TA for this course.

I communicate with you (and you all with each other) using:

Desired Prerequisites:

Course components (estimated grading weight):

COLLABORATION:
You may discuss your project with others. However, your project should be your own work. You can discuss assignments with others, but each of you should turn in an assignment which is your own work.

OTHER RELEVANT/ALTERNATIVE COURSES