Abstract: The strict arcsine model of the natural exponential family with cubic variance function is a feasible alternative for statistical analysis of overdispersed count data. Following from this ...

Find out how today's engineers succeed by growing their technical abilities, improving how they communicate, and staying open ...

ABSTRACT: Douala-Cameroon is a growing city with huge number of cars and motorcycles plying the roads, especially during rush hours. These automobiles emit exhaust gases, leading to atmospheric ...

Simply collecting data is not enough. You can fill spreadsheets with data, but it's useless if you can't act on it. Regression is one of the most powerful statistical tools for finding relationships ...

School of Artificial Intelligence, Guangxi Minzu University, No. 188, Daxue East Road, Xixiangtang District, Guangxi, Nanning 530006, China Guangxi Key Laboratories of Hybrid Computation and IC Design ...

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 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, ...

Model Context Protocol, or MCP, is arguably the most powerful innovation in AI integration to date, but sadly, its purpose and potential are largely misunderstood. So what's the best way to really ...

In this video, we will implement Multiple Linear Regression in Python from Scratch on a Real World House Price dataset. We will not use built-in model, but we will make our own model. This can be a ...