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

Mar 5, 3 PM PST
LEC 1: 35/30 seats taken (Full)
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Section List

  • LEC 1

    Closed

    TR 3:30pm-4:45pm

    Royce Hall 154

    Review

Course

Instructor
Yingnian Wu
Previously taught
22S

Previous Grades

Grade distributions not available.