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Statistical Learning- Classification

Course Outline

   

Introduction

Slides

Formal definition of classification, Linear discriminant analysis (LDA), Quadratic discriminant analysis (QDA)

Slides

QDA, Principal Component Analysis (PCA)

Lecture 3

PCA, Fisher's Discriminant Analysis (FDA)

Lecture 4

Logistic Regression

Lecture 5

Logistic Regression, Perceptron

Lecture 6

Backpropagation

Lecture 7

 Radial Basis Function Networks

Lecture 8

 Stein’s unbiased risk estimate (sure)​

Lecture 9

Weight decay

Lecture 10

Hard margin svm

Lecture 11

Soft margin svm

Lecture 12

Lecture 13

Lecture 13

Supervised PCA, Decision tree

Lecture 14

Decision Tree, KNN

Lecture 15

Boosting

Lecture 16