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CMSC422

Introduction to Machine Learning

Prerequisite: Minimum grade of C- in CMSC320, CMSC330, and CMSC351; and 1 course with a minimum grade of C- from (MATH240, 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.

Fall 2021

5 reviews
Average rating: 4.20

5 reviews
Average rating: 3.40

Spring 2021

1 review
Average rating: 4.00

Past Semesters

2 reviews
Average rating: 5.00

6 reviews
Average rating: 4.50

2 reviews
Average rating: 3.00

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Average GPA: 3.06 between 1,516 students

"W"s are considered to be 0.0 quality points. "Other" grades are not factored into the average GPA calculation.