About this document
CS229 Lecture 3: Supervised Learning by Amr Abbas is a document available to read on EtoBox.
This document summarizes a lecture on supervised learning and classification. It begins with an overview of linear regression and logistic regression. It then discusses how linear regression can be justified using a probabilistic interpretation involving least squares optimization. This allows generalizing the approach to more complex models using maximum likelihood. The document explains how logistic regression uses a sigmoid link function to model binary classification problems, interpreting the model pro
- Author
- Amr Abbas
- Language
- EN