Most accounting teams weren’t built to scale. They were built to close the books and stay compliant. That worked—until the demands outgrew the structure. Today, businesses expect sharper insight and ...

The Cleveland Clinic is partnering with San Francisco–based startup Piramidal to develop a large-scale AI model that will be used to monitor patients’ brain health in intensive care units. Instead of ...

This article considers the problem of inference for nested least squares averaging estimators. We study the asymptotic behavior of the Mallows model averaging estimator (MMA; Hansen, 2007) and the ...

Abstract: This article proposes linear quadratic controllers for unknown nonlinear systems with noise. Scenarios with unknown underlying nonlinear dynamics but measurable system states are considered.

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, ...

Background: Emerging evidence suggests dietary fiber may prevent cognitive decline, but its dose-response relationship and underlying mechanisms remain unclear. This study investigates the non-linear ...

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in Machine Learning is "error" representation between actual value and model ...

Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient Descent is an algorithm we use to minimize the cost function value, so as to ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of linear regression with two-way interactions between predictor variables. Compared to standard linear ...