Lecture 4: Gaussian Discrimination Analysis
In this lecture, we will explore the first models for classification, developed using probability theory. Additionally, we will introduce several methods for evaluating classification models. It covers the following things:
Basic Ideas
Gaussian Model based Classifiers
Further Discussion
Model Evaluations
Lecture notes:
Reading Guidelines: You can read the book…
For lecture 4, it is recommended that you read the following sections in the textbook.
- Chapter 4: Read sections 4.4 and subsections from 4.7.3 - 4.7.5
Discussion
Slides for discussion: click here
Lesson:
Solutions: Click here
R file: download here.
