|Office:||315 Heller Hall|
|Office Hours:||13:30-14:30 Tuesday, Thursday and by appointment|
|Texts:||Mitchell, Machine Learning, McGraw-Hill|
Cristianini and Shawe-Taylor, An Introduction to Support Vector Machines, Cambridge University Press
This course will present an introduction to the field of machine learning and the related field of data mining. The course will cover material from both textbooks focusing primarily on Mitchell's book. The textbooks will be supplemented with material from research papers on recent developments in machine learning. The course will focus largely on classification learning, though there will also be some coverage of other learning techniques including analytical learning, unsupervised learning and reinforcement learning. The course will include several coding projects in which students will implement learning algorithms. Each student will also complete a research project as part of the class.
|Item||Points||Date and Time|
|Midterm Exam||300 points||October 18 (Tuesday), 15:30-17:10|
|Final Exam||300 points||December 17 (Saturday), 16:00-17:55|
|Homework Assignments (5)||100 points||TBA|
|Programming Assignments (3-5)||100 points||TBA|
|Term Project||200 points||TBA|
|Total||1000 points||Grade based on total points|
Grades are assigned on a percentage basis, and then an adjustment is applied based on a minimum effort requirement (see below). The grade percentage cutoffs are as follows:
These percentages may be lowered but will not be raised.
Minimum Effort Requirement: Students must turn in a minimal credible effort for EVERY assignment or their grade will be reduced one full letter grade (an A would become a B, an A- a B-, a B+ a C+, etc.). A turned in assignment achieving at least 40% of the possible points (before late assignment penalties) will be considered a minimal credible effort (though this percentage may be revised downwards by the instructor as warranted). For example, if a program has a maximum possible 30 points, then a turned-in assignment achieving at least 12 points before late penalties would be considered a minimal credible effort.
Term project: each student will undertake a research project whose topic will be decided in consultation with the instructor. No lectures will be held in the final 3 weeks of class to allow students time to work on their projects.
Students will be required to submit a writeup of their project as well as the code associated with that project.
Copies of the overheads used in class will be made available on the class web page. Some useful reference books can be found by going to the library web page (http://www.d.umn.edu/lib/) and then clicking on "Electronic Resources", clicking the "Indexes and Databases" button, and then in the list you see click on "Safari Tech Books Online."Missed Classes
You are responsible for what goes on in class, including lecture material, handouts, and turning in assignments. If you are unable to attend class it is your responsibility to obtain copies of class notes and any materials distributed in class. You may turn in copies of assignments early or have other members of the class turn in an assignment for you.Missed Exams
No exam will be given early. Exams can be made up only in the case of emergencies such as severe illness or death in the immediate family. You must contact me 24 hours in advance in order to arrange a makeup.Assignments
All assignments will be collected at the beginning of class on the due date. Late assignments will be penalized 20% of the grade for each working day the assignment is late.Cheating
Programming assignments must be your own work. You may discuss general ideas with other students, but should not discuss actual code with others. If you are having problems with an assignment, please come and see me or send me email.Equal Opportunity
As instructor I shall make every attempt to treat all students equally, without regard to race, religion, color, sex, handicap, age, veteran status, or sexual orientation. I encourage you to talk to me about your concerns of equal opportunity in the classroom. To inquire further about the University's policy on equal opportunity, contact the Office of Equal Opportunity (6827), 269-273 DAdB.Students With Disabilities
If you have any disability (either permanent or temporary) that might affect your ability to perform in this class, please inform me at the start of the semester. I may adapt methods, materials, or testing so that you can participate equitably. To learn about the services that UMD provides to students with disabilities, contact the Access Center (8727), 138 Kirby Plaza, or the Office of Equal Opportunity (8217), 269-273 DAdB.