CMSC 422
Introduction to Machine Learning
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.
Prerequisites & course information
Prerequisite: Minimum grade of C- in CMSC320 , CMSC330 , and CMSC351 ; and 1 course with a minimum grade of C- from ( MATH240 , MATH341 , MATH461 , ENEE290 ); and permission of CMNS-Computer Science department.
Sources
- Course catalogue ↗2026-2027
- Catalogue entry ↗
Catalogue variants
- Introduction to Machine Learning · 3 Credits