Want to understand how multivariate linear regression really works under the hood? In this video, we build it from scratch in C++—no machine learning libraries, just raw code and linear algebra. Ideal ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

We have many models of human development, from personality and psychosocial ones to those based on neuroscientific and developmental research. Freud (1937), envisioning a scientific model for ...

Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs large-scale nonlinear computations using linear materials. Reported in ...

ABSTRACT: To address the multicoupling effects of stress response in UAV landing gear during touchdown, this study employs a multivariate nonlinear regression approach for multi-objective optimization ...

ABSTRACT: To address the multicoupling effects of stress response in UAV landing gear during touchdown, this study employs a multivariate nonlinear regression approach for multi-objective optimization ...

Abstract: Lightning strikes have posed a severe threat to the operational safety of wind turbines. As an additional lightning-protection measure, metal meshes have been deployed on a number of ...

This project implements a quadratic nonlinear regression model to estimate the real-world distance between a hand and a camera based on the relative positions of hand landmarks in 2D images. The ...

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 ...

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 ...