• Schedule — lectures, readings, and homework due dates (source of truth; check here for the current homework, not this page).
• Texts, Instructors, TAs, and Office Hours
• Term Project
• Final Exam

Please use the Piazza discussion forum for all questions regarding material, assignments, due dates, data issues, programming issues, etc. Do not use the direct email to TAs or Instructors for these questions. Personal/private matters, such as availability, delays, grades, term projects or other advanced material, etc, should be discussed by email or Teams chat.

Welcome to CS 6140 - Machine Learning

Bookmark this page! General structure of the course:

• Seven modules (2 weeks each) with readings, lecture notes, slides, explanations (video), recorded lectures, and of course a homework.
• Assignments (homeworks) are focused on programming ML techniques, training on data, test/evaluate, and coding/engineering aspects.
• Mandatory: You are expected to participate at office hours; either to discuss your difficulty with the assignment, or to demo the code and results for grading.
• Each assignment is graded on the spot by a TA when you have it working. We won't be picky with the grading, but some assignments can be quite challenging. Often the TA will point to something that needs more work before you can get full credit.