Statistics 452: Course Description

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Statistics 452:

Introduction to statistical machine learning. Supervised learning including linear regression, logistic regression, and classification methods. Unsupervised learning including clustering. Re-sampling methods such as random forests, cross-validation, boosting, and bagging. Applications to data mining, statistical pattern recognition, and data processing.

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