Visual Studio Magazine

Linear Regression with Pseudo-Inverse Training Using JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
Open Heart

Left atrial anterior wall ablation reduces the recurrence of atrial fibrillation in patients with aortic encroachment

Background Mechanical compression from the ascending aorta on the left atrial anterior wall (LAAW) can cause low voltage ...
marktechpost

Can a Small Language Model Predict Kernel Latency, Memory, and Model Accuracy from Code? A New Regression Language Model (RLM) Says Yes

Researchers from Cornell and Google introduce a unified Regression Language Model (RLM) that predicts numeric outcomes directly from code strings—covering GPU kernel latency, program memory usage, and ...
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, ...
Hackaday

Understanding Linear Regression

Although [Vitor Fróis] is explaining linear regression because it relates to machine learning, the post and, indeed, the topic have wide applications in many things that we do with electronics and ...
Scientific Research Publishing

Aalen, O.O. (1989) A Linear Regression Model for the Analysis of Life Times. Statistics in Medicine, 8, 907-925.

ABSTRACT: This paper proposes a universal framework for constructing bivariate stochastic processes, going beyond the limitations of copulas and offering a potentially simpler alternative. The ...
Scientific Research Publishing

Fox, J. (2016) Applied Regression Analysis and Generalized Linear Models. 3rd Edition, Sage Publications.

ABSTRACT: This study investigates the impact of marketing mix elements—Product, Price, Promotion, and Place (4Ps)—on the revenue and profit of Nigerian Breweries Plc (NBL) from 2013 to 2022, using ...
GitHub

multiple_linear_regression.m

% Ref. [1] S. Chapra, "Applied numerical methods with MATLAB", Mc Craw Hill, Singapore (2008). % The linear function of x1 and x2 to be fitted: y(x) = a0 + a1*x1 + a2 ...
GitHub

general_polynomial_regression_1.m

% This Matlab code performs a calculation of polynomial regression [1]. % Ref. [1] S. Chapra, "Applied numerical methods with MATLAB", Mc Craw Hill, Singapore (2008). % The second-order polynomial or ...