CS 422 - Introduction to Machine Learning

(3 units)

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 ML. Emphasis is given to practical aspects of ML.

Maximum units a student may earn: 3

Prerequisite(s): CS 302 with a “C” or better; MATH 330 with a “C” or better. Recommended Preparation: Calculus, Probability and Statistics.

Grading Basis: Graded
Units of Lecture: 3
Offered: Every Spring

Student Learning Outcomes
Upon completion of this course, students will be able to:
1. communicate effectively in a variety of professional contexts, with a range of audiences.
2. acquire and apply new knowledge as needed, using appropriate learning strategies.

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