STAT 239Statistical Learning
Mathematics · Faculty of Arts and Sciences · 3 credits
Description
Introduction to supervised learning. Loss functions and population risk. Estimates of risk. Resampling methods (cross-validation and the bootstrap). k-nearest neighbors. Linear and polynomial regression, logistic regression and linear discriminant analysis. Model selection and regularization methods (ridge regression and lasso). Non-linear models and generalized additive models. Tree-based methods, random forests and boosting. Support-vector machines. Feedforward and convolutional neural networks. Prerequisites: MATH 218 or MATH 219; STAT 234 or STAT 230 with consent of the instructor. Annually.
Common questions about STAT 239
What is STAT 239 at AUB?
STAT 239 Statistical Learning is a 3-credit course at American University of Beirut (AUB), in the Faculty of Arts and Sciences. Introduction to supervised learning. Loss functions and population risk. Estimates of risk. Resampling methods (cross-validation and the bootstrap). k-nearest neighbors. Linear and polynomial regression, logistic regression and linear discriminant analysis.
How many credits is STAT 239?
STAT 239 Statistical Learning is worth 3 credits at AUB.
Who teaches STAT 239 at AUB?
Studiety has 1 professor on record for STAT 239: Stefano Monni. Sections change every term, so check the registrar for who is teaching now.