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Oct 07, 2024
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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.
Pre-requisite(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 Fall
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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