This project explores three commonly used error functions in machine learning regression: Mean Absolute Error (MAE), Mean Squared Error (MSE), and the Huber Loss ...

Understanding standard error is crucial when you're navigating the complex world of regression analysis. It's a measure that reflects the accuracy of your predictions ...

Last time, we got a little taste of linear regression, by looking at the case of one-dimensional data. Today, we'll move on to full-fledged least-squares regression. This is a very simple and powerful ...

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in Machine Learning is "error" representation between actual value and model ...

The purpose of this tutorial is to continue our exploration of regression by constructing linear models with two or more explanatory variables. This is an extension of Lesson 9. I will start with a ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector ...

A linear SVR model uses an unusual error/loss function and cannot be trained using standard simple techniques, and so evolutionary optimization training is used. The goal of a machine learning ...