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. Credit only granted for CMSC422 or CMSC498M.

Fall 2024

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114 reviews
Average rating: 3.55

Spring 2024

6 reviews
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6 reviews
Average rating: 3.17

Fall 2023

114 reviews
Average rating: 3.55

Summer 2023

114 reviews
Average rating: 3.55

Spring 2023

114 reviews
Average rating: 3.55

5 reviews
Average rating: 3.60

Past Semesters

11 reviews
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8 reviews
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6 reviews
Average rating: 3.17

5 reviews
Average rating: 3.60

6 reviews
Average rating: 3.17

114 reviews
Average rating: 3.55

* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.