Rutgers University 3 credits Data Science
Data scientists extract statistical patterns from raw data such as customer transaction records, x-ray images of patients with certain diseases, customer review comments, aggregated data from sales of houses in some region, etc. As such, they are able to build, for example, recommending systems sending valuable coupons to potential customers, AI-doctors capable of telling preliminary diagnoses, etc. The necessary knowledge of geometry, algebra, and calculus, which allows you to deal with large amounts of high dimensional data and build simple statistical models, e.g., linear and logistic regression, will be reviewed in this class. If time permits, we also learn how to reason the decisions made by these models by quantifying the uncertainty and risk.
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