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 C261. P/NP or letter grading.

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Enrollment Progress

Jul 13, 4 PM PDT
LEC 1: 22/25 seats taken (Open)
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Section List

  • LEC 1

    Closed

    TR 9:30am-10:45am

    Royce Hall 160

    Review

Course

Instructor
Genhong Cheng
Previously taught
24F

Previous Grades

Grade distributions not available.