Deep Learning with PyTorch Quick Start Guide

Linear models

The simplest models we will encounter in machine learning are linear models. Solving linear models is important in many different settings, and they form the building blocks of many nonlinear techniques. With a linear model, we attempt to fit training data to a linear function, sometimes called the hypothesis function. This is done through a process called linear regression. 

The hypothesis function for single variable linear regression has the following form:

Here, θ₀ and θ₁ are the model parameters and x is the single independent variable. For our house price example, x could represent the size of floor space and h(x) could ...