Prerequisite: Minimum grade of C- in CMSC320, CMSC330, and CMSC351; and 1 course with a minimum grade of C- from (MATH240, MATH341, MATH461); and permission of CMNS-Computer Science department.
Machine Learning studies representations and algorithms that allow machines to improve their performance on a task from experience. This is a broad overview of existing methods for machine learning and an introduction to adaptive systems in general. Emphasis is given to practical aspects of machine learning and data mining.
This course will be entirely online, but exams will be held in-person. The mid-term will be held on Friday, June 27 from 9:30-10:45am and the final will be held on Friday, July 25 from 9:30-10:45am. Please plan accordingly.