Linear regression is one of the simplest supervised learning algorithms. Here, the goal is not to predict the class, or category, of a given example but to predict a real numerical value for it. Continue reading Supervised Learning II – Linear Regression

# Category Archives: Learning

# Supervised Learning I – Introduction

The task of supervised learning is to find a function that predicts the category of a given data *well*. Here, the word *well *has a relative meaning and what we actually do is to try to find a function that matches data to its class labels, or target values in regression, as best as it can. Continue reading Supervised Learning I – Introduction