Investopedia

Multiple Linear Regression (MLR): Definition, Uses, & Examples

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
Nature

Improvement of college students’ higher mathematics problem solving ability based on neural network and multiple regression model

This study aims at the limitations of the evaluation of Problem Solving Ability (PSA) in college students’ advanced mathematics problem-solving. It constructs a dual-dimensional evaluation system ...
Visual Studio Magazine

Linear Regression Using JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...
Visual Studio Magazine

Linear Regression with Two-Way Interactions Using C#

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of linear regression with two-way interactions between predictor variables. Compared to standard linear ...
Nature

Prediction of arabica coffee production using artificial neural network and multiple linear regression techniques

Crop yield and its prediction are crucial in agricultural production planning. This study investigates and predicts arabica coffee yield in order to match the market demand, using artificial neural ...
eWeek

What is Linear Regression? A Comprehensive Guide

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...