Learn how to implement linear regression from scratch in C++. A beginner-friendly guide to machine learning basics.

Abstract: The widespread adoption of electric cars (EVs) can be attributed to their many advantages over conventional gas-powered automobiles. However, there may be difficulties in incorporating EVs ...

Discover how econometricians use math and statistics to analyze and predict economic trends, serving in finance and academia ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Abstract: This paper investigates the momentum of athletes using a combination of linear regression and BP neural network algorithms. Firstly, we quantify momentum based on players’ winning streaks, ...

Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient ...

Objective To examine whether a multicomponent commercial fitness app with very small (‘micro’) financial incentives (FI) ...

This C library provides efficient implementations of linear regression algorithms, including support for stochastic gradient descent (SGD) and data normalization techniques. It is designed for easy ...

As one of the important statistical methods, quantile regression (QR) extends traditional regression analysis. In QR, various quantiles of the response variable are modeled as linear functions of the ...