Statistical Concepts in Machine Learning and Artificial Intelligence

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STAT 5101, STAT 5147, and STAT 5279Introduction to core concepts at the intersection of statistics, machine learning, and artificial intelligence. Topics include bias-variance tradeoff, training and test sets, model assessment and diagnostics, overfitting, error rates, residual analysis, and assumption checking. Statistical frameworks for regularized regression, classification, and ensemble techniques are presented, with attention to feature selection and variable importance. Additional topics m→STAT 5270→unlocks 0 courses

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