Nanjing Aobo Industrial Intelligent Technology Research Institute Co., Ltd. and Xinpobisi (Nanjing) Intelligent Technology Co., Ltd. have jointly obtained a patent titled "A Method for Predicting the ...

Discover how linear regression works, from simple to multiple linear regression, with step-by-step examples, graphs and real-world applications.

What is linear regression? Linear regression is a basic machine learning algorithm that is used for predicting a variable based on its linear relationship between other independent variables.

Linear regression draws corresponding trend lines, such as disease outbreaks, bitcoin prices, demand for software experts, etc.

Linear regression algorithms. This type of regression assumes that the correlation between an input and an output can be modeled with an equation that can be plotted as a straight line or flat plane.

When Gaussian errors are inappropriate in a multivariate linear regression setting, it is often assumed that the errors are iid from a distribution that is a scale mixture of multivariate normals.

Common regression techniques include multiple linear regression, tree-based regression (decision tree, AdaBoost, random forest, bagging), neural network regression, and k-nearest neighbors (k-NN) ...