BIOSTAT 212A
        
    Statistical Learning A
    Description: (Formerly numbered 212.) Lecture, three hours; discussion, one hour. Requisite: course 100A. Elements of statistical learning. Topics include linear regression, classification (logistic regression, discriminant analysis), resampling methods (cross-validation, bootstrap), model selection (subset, stepwise) and regularization (ridge, lasso). Letter grading.
    
    
Units: 4.0
  
        Units: 4.0