Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...

It has been popular to compare Washington to the Houston Texans, who thrived in C.J. Stroud’s rookie season but took a step backward last year. Strike up a candid conversation with an NFL executive or ...

Our teacher already knows there is a positive relationship between how much time was spent on an essay and the grade the essay gets, but we’re going to need some data to demonstrate this properly.

Abstract: Interferometric synthetic aperture radar data are often obtained on the basis of repeated satellite acquisitions. Errors in the satellite orbit determination, however, propagate to the data ...

Abstract: This tutorial aims to provide an intuitive introduction to Gaussian process regression (GPR). GPR models have been widely used in machine learning applications due to their representation ...

Chart.js plugin to calculate and draw statistical linear, exponential, power, logarithmic, and polynomial regressions using chart datasets data. The plugin, at the current version, uses the regression ...

Study objective: In social epidemiology, it is easy to compute and interpret measures of variation in multilevel linear regression, but technical difficulties exist in the case of logistic regression.

A few years ago I decided to take on a personal project to predict horse racing results. When I started, I didn’t really know exactly what the end goal of the project was suppose to be. My primary ...