Instructor: Doug Downey
Office Hours: 2:00-3:00PM Wednesday (or by appt), Ford 3-345
Email: ddowney <at> eecs <dot> northwestern <dot> edu
Teaching Assistants: Zhiyao Duan and Arefin Huq
Office Hours: (3:00PM-4:00PM Wed., Ford 3-230) and (2:00-3:00PM Mon., Ford 3-204)
Email: zhiyaoduan00 <at> gmail <dot> com, arefinhuq2013 <at> u <dot> northwestern <dot> edu
Submit your homework via email to both zhiyaoduan00 <at> gmail <dot> com and arefinhuq2013 <at> u <dot> northwestern <dot> edu. Put EECS349-PS<problem set number>-<first name>-<LastName> on the subject of your email and attach a compressed ZIP file with the solution. The ZIP file naming convention is: PS<problem set number>-<first name>-<LastName>.zip. For example, if your name is James Bond and you are submitting your solution to Problem Set 1, you will send the TA an email with EECS349-PS1-James-Bond as the subject and you will attach the file PS1-James-Bond.zip which contains all the files that comprise your solution to Problem Set 1. Details on the specific files to include are given in each homework assignment.
Late assignments are penalized by 5% a day, and will NOT BE ACCEPTED more than one week after the original deadline.
| Problem Set 1 | Due 11:59PM Tuesday, Oct 5 | 10 pts |
| Problem Set 2 | Due 11:59PM Thursday, Oct 21 | 15 pts |
| Problem Set 3 | Due 11:59PM Thursday, Nov 4 | 15 pts |
| Problem Set 4 | Due 11:59PM Tuesday, Nov 23 | 10 pts |
Deadlines:
| Proposal (1 pg) | Due 11:59PM Tuesday, Oct 26 | 10 pts |
| Status Report (2 pg) | Due 11:59PM Tuesday, Nov 16 | 10 pts |
| Project Poster/Demo | 9AM Thursday, Dec 9 | 20 pts |
| Project Web page (details in poster link above) | 9AM Thursday, Dec 9 | 15 pts |
| Week of September 20 |
Wired data-mining article Recommended: Ch. 1 & 2 of Mitchell |
| Week of September 27 |
Recommended: Ch. 3 of Mitchell |
| Week of October 4 |
Recommended: Ch. 8 of Mitchell |
| Week of October 11 |
Recommended: Ch. 9 of Mitchell |
| Week of October 18 |
Recommended:
Clustering Tutorial Bagging, Boosting, and C4.5 |
| Week of October 25 | Recommended: Ch. 6 of Mitchell |
| Week of November 1 | Recommended: Andrew Moore tutorial on Bayes Nets |
| Week of November 8 | Recommended: Ch. 4,5, and 7 of Mitchell |
| Week of November 22 | Recommended: SVM Tutorial |
| Week of September 20 | Introduction Decision Trees |
| Week of September 27 | M-W: Decision Trees (cont.) F: Instance-based Learning |
| Week of October 4 | M: Distance Measures W: Project Guidelines and Suggestions F: Greedy Local Search |
| Week of October 11 | M: Genetic Algorithms W: Genetic Programming (Forrest Stonedahl guest lecture) F: Machine Learning in Industry (Mykell Miller guest lecture) |
| Week of October 18 | M-W: Clustering F: Ensemble Methods (Zhiyao Duan guest lecture) |
| Week of October 25 | M: Basics of Probability for Machine Learning W: Statistical Estimation F: Naive Bayes Classifiers |
| Week of Nov 1 | M: Bayes Nets W-F: Hidden Markov Models |
| Week of Nov 8 | M: Computational Learning Theory and Evaluating Hypotheses W: Active Learning F: Neural Networks |
| Week of Nov 15 | M: Neural Networks (cont.) W: Feature Selection (Arefin Huq guest lecture) F: Project Status Reports |
| Week of Nov 22 | M: Support Vector Machines W: Web Information Extraction F: No class (Thanksgiving break) |
| Week of Nov 29 | M-W: Reinforcement Learning F: Final project issues |