4255. Introduction to Statistical Learning
3.00 credits
Prerequisites:
Grading Basis: Graded
Modern statistical learning methods arising frequently in data science and machine learning with real-world applications: linear and logistic regression, generalized additive models, decision trees, boosting, support vector machines, and neural networks (deep learning).
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