1. All assignments should be submitted by uploading to the ftp server (hk.cse.iitk.ac.in). A loginId, password will be mailed to all registered students. Assignments have to be demonstrated to your TA. Each student will be assigned to one TA. He is your mentor for this course. TAs will put up a demo schedule for each assignment. Your TA will grade your demo and you can get your marks from her/him.
2. Late submissions will lose marks at the rate of 10% of the max marks for the assignment per day unless you have explicit permission to submit it late from the instructor.
3. While you can discuss your assignments with others you must do it on your own. If copying is established you will get a failing grade in the course.
4. You are free to use any library/framework/platform for the implementation assignments and the project.

Assignments

No.	Assignment	Sub. deadline
0	Pre-reqs: Probability, Lin. algebra	30/1/16, 23.59
1	Naive Bayes, NN, LDF	4/2/16, 23.59
2	SVMs, Kernels, Regression	16/3/16, 23.59
3	Decision trees, forests, ensembles	3/4/16, 23.59

Exams