## From Linear Regression to Linear Classification

Preliminaries An Introduction to Linear Regression A Simple Linear Regression Bayesian theorem Feature extraction Recall Linear Regression The goal of a regression problem is to find out a function or hypothesis that given an input $$\mathbf{x}$$, it can make a prediction $$\hat{y}$$ to estimate the target. Both the target $$y$$ and prediction $$\hat{y}$$ here are continuous. They have the properties of numbers1: Consider 3 inputs $$\mathbf{x}_1$$, $$\mathbf{x}_2$$ and $$\mathbf{x}_3$$ and their coresponding targets are $$y_1=0$$, $$y_2=1$$ and $$y_3=2$$....

February 17, 2020 · (Last Modification: April 28, 2022) · Anthony Tan