Assignments
Assignment 1 (Out: Sept 5; Due: Sept 12) - Concept Learning
Assignment 1 Solution
Assignment
1 Grade Histogram
Assignment 2 (Out: Sept 12; Due Sept 19) - Information Theory
Assignment 2 Solution Assignment 2 Grade Histogram
Assignment
3 (Out: Sept 21; Due Oct 3) - Decision Trees
Assignment 3 Solution Assignment 3 Grade Histogram
Assignment 4 (Out: Oct 3; Due Oct 10) - Neural Networks
Assignment 4 Solution Assignment 4 Grade Histogram
Assignment 5 (Out: Oct 12; Due Oct 17) - Computational Learning Theory
Assignment
5 Solution Assignment 5 Grade Histogram
Assignment 6 (Out: Nov 2; Due Nov 9) - Statistical Estimation & Bayesian Learning
Assignment
6
Solution Assignment 6 Grade Histogram
Assignment 7 (Out: Nov 9; Due Nov 16) - Bayes Classifiers
Assignment
7
Solution Assignment 7 Grade Histogram
Assignment 8
(Out: Nov 16; Due Nov 28) - HMM
Code Provided
Questions and Errata
Errata and answers to questions about homework assignments will be emailed to the course mailing list. A welcome note will be sent to the mailing list early on in the semester. If you do not receive the welcome message, please send mail to one of the TAs.
Written solutions will be collected at the beginning of class on the date due.
Programming solutions should be placed in each student's appropriate AFS directory. The course handin directory may be found at /afs/andrew/course/15-681/handin.
Assignments will be handled according to the following policies. -->
