COMS 4771 is a graduate-level introduction to machine learning. The course covers basic statistical principles of supervised machine learning, as well as some common algorithmic paradigms.
Announcements will be posted on Ed Discussion.
Information about Exam 1 is available.
Information about Exam 2 is available.
Wondering how to prepare or submit your homework write-up? Please see the page on homework instructions and policies. Homeworks and accompanying data files are posted in Courseworks under “Files”.
Past and near-term lectures are listed here, along with links to lecture slides, readings, and other materials. Topics of other planned lectures can be found in the course syllabus. Lecture recordings are available on Courseworks.
Enrollment and waitlists are managed by the CS department staff. Please do not contact the instructor about enrollment or waitlist issues.
Message from the CS department staff:
While some CS courses are controlled by the instructor, others are overseen by the CS Advising Team to ensure MS students, and upper-level undergraduates (juniors and particularly seniors) who need them for graduation are able to get seats. Given that the waitlists for these classes are so long and that the incoming MS students and UG students are not enrolling until August we need to preserve seats for many different cohorts of students. Now that we have a better understanding of the number of students who will need seats, it’s clear that certain student groups will not be able to secure a seat in these courses at this time. As a result, the decision was made to explicitly deny students who were realistically not going to get seats so that they could use those waitlist slots for other courses at the next registration appointment. You are welcome to re-add yourself to those waitlists when your registration window next opens, but keep in mind that the waitlist “clearing” will continue through to Change of Program. We will do our best to get students into the courses they need.
