With fake images, we can customize the exact properties of the objects in the image. That way, we can see if the algorithms we’re training can uncover those properties correctly.

Linear regression and its variants have achieved considerable success in image classification. However, those methods still encounter two challenges when dealing with hyperspectral image (HSI) ...

The Data Science Lab AdaBoost Regression Using C# Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the AdaBoost.R2 algorithm for regression problems (where ...

Linear regression classification (LRC) has proven to be a successful recognition tool in recent years. LRC depends on using the least square algorithm to get the solution of the linear regression ...

This article explains how to implement linear ridge regression from scratch, using the C# language. Linear ridge regression (LRR) is a relatively simple variation of standard linear regression.

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

Linear regression Linear regression, also called least squares regression, is the simplest supervised machine learning algorithm for predicting numeric values.