CS 622 - 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

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.
3. apply engineering and computer science research and theory to advance the art, science, and practice of the discipline.

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