Lecture 7: Logistic Regression Classifier
In this lecture, we will learn about a very important classifier in machine learning, the logistic regression classifier. First, we will discuss intuitively how classification can be performed using a linear regression model and point out its critical weakness. Then, we will introduce logistic regression to address this weakness, discussing its model construction and how to use it as a classifier. Finally, we will discuss the training of the logistic regression model. By understanding its loss function, we will easily grasp how to use regularization methods in logistic regression.
Outline:
- 7.1 Regression Model for Classification
- 7.2 Logistic Regression Classifier
- 7.3 Cross-Entropy Loss and Penalized Logistic Regression
