Introduction to Pattern Recognition and Machine Learning

Lecture, three hours. Requisites: course 100B, Mathematics 33A. Introduction to pattern analysis and machine intelligence designed for advanced undergraduate and graduate students. Concurrently scheduled with course C161. S/U or letter grading.

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Course

Instructor
Alyson Fletcher
Previously taught
21S 19S 18S 16S

Previous Grades

Grade distributions not available.