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BIOSTAT 273

Machine Learning

University of California, Los Angeles 4 credits Biostatistics

Course Description

Lecture, three hours. Requisites: course 200C and Mathematics 115A. Covers theoretical underpinnings and practical applications of modern machine-learning and other data-intensive algorithms, including support vector machines and random forest algorithms. Students learn to download and use variety of software tools that are available for free on web. S/U or letter grading.

Code
BIOSTAT 273
Credits
4
Subject
Biostatistics

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