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Aug 25, 2024
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STAT 652 - Statistical Learning Units: 2 Statistical machine learning overview. Choosing a learning algorithm. Unsupervised learning including classification methods, nearest neighbors, naïve Bayes, decision trees and rules, neural networks, k-means. Supervised learning including linear regression and logistic regression. Model performance and evaluation. Confusion matrix. Report writing.
Prerequisites: Post-baccalaureate standing. Equivalent Quarter Course: STAT 6620. Possible Instructional Methods: Entirely On-ground. Grading: A-F grading only.
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