CS 171 - Introduction to Machine Learning

3 units
Covers a selection of classic machine learning techniques including backpropagation and several currently popular neural networking and deep learning architectures. Hands-on lab exercises are a significant part of the course. A major project is required.

Prerequisite(s): CS 146 (with a grade of C- or better). Computer Science, Data Science, Computer Science and Linguistics, or Software Engineering majors only.
Grading: Letter Graded

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