Scientific Research Publishing

Neter, J., Wasserman, W. and Kutner, M.H. (1983) Applied Linear Regression Models. Richard D. Irwin.

ABSTRACT: This study employs machine learning techniques (AI), specifically multiple linear regression with nonlinear covariates, to model rental prices per square meter in Berlin, Germany. The ...
Scientific Research Publishing

Fahrmeir, L., Kneib, T., Lang, S. and Marx, B. (2013) Regression Models. In: Fahrmeir, L., Kneib, T., Lang, S. and Marx, B., Eds., Regression, Springer, 21-72.

ABSTRACT: This study employs machine learning techniques (AI), specifically multiple linear regression with nonlinear covariates, to model rental prices per square meter in Berlin, Germany. The ...
Visual Studio Magazine

Linear Regression with Two-Way Interactions Using JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with two-way interactions between predictor variables. Standard linear regression predicts a single numeric value ...
Hosted on MSN

Linear Regression In Python From Scratch | Simply Explained

Implement Linear Regression in Python from Scratch ! In this video, we will implement linear regression in python from scratch. We will not use any build in models, but we will understand the code ...
Visual Studio Magazine

Linear Support Vector Regression from Scratch Using C# with Evolutionary Training

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...
IEEE

Representation Transfer Learning via Multiple Pre-Trained Models for Linear Regression

Abstract: In this paper, we consider the problem of learning a linear regression model on a data domain of interest (target) given few samples. To aid learning, we are provided with a set of ...