Introduction to Pattern Recognition and Machine Learning

STATS C161 - Introduction to Pattern Recognition and Machine Learning

<p>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.</p>

Statistics

Combining rigorous, inclusive pedagogy with opportunities for co-curricular activities—including research, internships, and community engagement—the College provides students with diverse learning experiences that helps them thrive, become critical thinkers, and transform society.

College of Letters and Science

The department introduces students to the science of data through three sequences: theoretical statistics, data analysis, and statistical computing.

General Catalog

Introduction to Pattern Recognition and Machine Learning

STATS C261

4 units