— Fundamentals of Statistical Learning

Prerequisites & course information

Course Description: Principles of supervised and unsupervised statistical learning. Regularization and cross validation; classification, clustering and dimension reduction techniques; nonparametric smoothing methods. Learning Activities: Lecture 3 hour(s), Discussion 1 hour(s). Credit Limitation(s): Not open for credit to students who have taken STA 142A or ECS 171 ; only 2 units credit for students who have taken STA 035C . Grade Mode: Letter. General Education: Science & Engineering (SE). Learning Activities: Lecture 3 hour(s), Discussion 1 hour(s). Credit Limitation(s): Not open for credit to students who have taken STA 142A or ECS 171 ; only 2 units credit for students who have taken STA 035C . Grade Mode: Letter. General Education: Science & Engineering (SE).