[DHS] Pattern Classification (2nd Edition) by Richard O. Duda, Peter E. Hart, and David G. Stork
[KMPP] Kevin Murphy : Machine Learning, A Probabilistic Perspective
Instructor: Virgil Pavlu
Office: 472 WVH
E-mail: vip@ccs.neu.edu
Lecture: Tuesdays, 6-9 pm, 2 lectures at a time. Room: 320 Behrakis
Office hours: Wednesday 5PM-7PM, room 472
[DHS] Pattern Classification (2nd Edition) by Richard O. Duda, Peter E. Hart, and David G. Stork
[KMPP] Kevin Murphy : Machine Learning, A Probabilistic Perspective
Other texts
Pattern Recognition and Machine Learning by C. Bishop
Introduction in Machine Learning by Ethem Alpaydin
Machine Learning by Tom Mitchell
http://www.stanford.edu/class/cs229/section/cs229-linalg.pdf
http://www.stanford.edu/class/cs229/section/cs229-prob.pdf
http://www.stanford.edu/class/cs229/section/cs229-cvxopt.pdf
http://www.stanford.edu/class/cs229/section/cs229-cvxopt2.pdf
There will be four or five assignments, including programming ; please see the syllabus for an exact schedule. Some of the problems will be difficult, and it will often be helpful to discuss them with others. Feel free to form study groups. However, the idea is for everyone to understand the problems and experience working through the solutions, so you may not simply "give" a solution to another classmate. In particular, each student must write up his or her own homework solutions and must not read or copy the solutions of others. If you work with others on a problem, you must note with whom you discussed the problem at the beginning of your solution write-up.
Late homework policy: Homework is due at the beginning of class on the announced due date. You will be granted one homework extension of 1 week, to be used at your discretion, no questions asked. This policy does not apply to projects. After the first late assignment, unexcused late assignments will be penalized 20% per calendar day late. I normally will not accept assignments after the date on which the following assignment is due or after the solutions have been handed out, whichever comes first. If you will have a valid reason for turning in an assignment late, please see me in advance to obtain full-credit.
There will be one major project. You can choose out of several possibilities.
All work submitted for credit must be your own.
You may discuss the homework problems or projects with your classmates, the teaching assistant(s), and instructor. You must acknowledge the people with whom you discussed your work, and you must write up your own solutions. Any written sources used (apart from the text) must also be acknowledged; however, you may not consult any solutions from previous years' assignments whether they are student or faculty generated.