CS 446: Machine Learning Dan Roth University of

CS 446: Machine Learning Dan Roth University of
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CS 446: Machine Learning Dan Roth University of Illinois, Urbana-Champaign danrillinois.edu http:L2R.cs.uiuc.edudanr 3322 SC CS446: Machine Learning What do you need to know: Theory of Computation Probability Theory Linear Algebra

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01
CS 446: Machine Learning Dan Roth
University of Illinois, Urbana-Champaign

danr@illinois.edu
http://L2R.cs.uiuc.edu/~danr
3322 SC<br>
02
CS446: Machine Learning What do you need to know:
Theory of Computation
Probability Theory
Linear Algebra
Programming (Java; your favorite language; some Matlab)

Homework 0 – on the web
No need to submit

Who is the class for?
Future Machine Learning researchers/Advanced users 2 Participate, Ask Questions<br>
03
CS446: Policies Cheating
No.
We take it very seriously.
Homework:
Collaboration is encouraged
But, you have to write your own solution/program.
(Please don’t use old solutions)
Late Policy:
You have a credit of 4 days (4*24hours); That’s it.
Grading:
Possibly separate for grads/undergrads.
5% Quizzes; 25% - homework; 30%-midterm; 40%-final;
Projects: 25% (4 hours)
Questions? 3 Info page
Note also the Schedule Page and our Notes<br>