Johns Hopkins University 3 credits Applied Economics
This course focuses on the use of machine learning methods for in-sample and out-of-sample prediction. The topics include regression, classification, random trees (forests, boosting, and pruning), regularization, Bayesian estimation, neural networks, support vector machines, model selection and ensemble learning. Prerequisite 440.606 Econometrics. Prerequisite(s): You must earn a grade of B- or better in AS.440.606 before you can take AS.440.625.
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