University of California, Los Angeles 2 credits Epidemiology
Lecture, two hours. Requisites: Biostatistics 100A, Public Health 200A. Introduction to use of Python programming language for epidemiologic analyses of big data. Topics covered include supervised and unsupervised learning methods, feature engineering, and model evaluation approaches using both quantitative and textbased health data. S/U or letter grading.
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