How-To Geek on MSN

How to run R-style linear regressions in Python the easy way

The adjusted r-squared is helpful for multiple regression and corrects for erroneous regression, giving you a more accurate ...
IEEE

Gradient Boosting With Moving-Average Terms for Nonlinear Sequential Regression

Abstract: We investigate sequential nonlinear regression and introduce a novel gradient boosting algorithm that exploits the residuals, i.e., prediction errors, as additional features, as inspired by ...
GitHub

Performance Regression: Excel Table Row Updates 12.5x Slower in October 2024 Release

When using the Office JavaScript API to update rows in an Excel.Table, the performance should be consistent with previous versions. Specifically, updating 1,500 random rows (10% of a 15,000-row table) ...
Frontiers

Optimal allocation of renewable energy sources and power filters in unbalanced distribution systems with nonlinear loads under load growth condition

In recent years, the world’s energy needs have increased significantly. In order to meet this demand and mitigate the environmental issues brought on by the use of conventional power plants, numerous ...
C&EN

A 2D Double Perovskite Based on the Chiral Cystaminium Cation Exhibiting Multiple Switches in Quadratic Nonlinear Optical Response

MOLTECH-Anjou, UMR-CNRS 6200, Université d’Angers, 2 Bd Lavoisier, Angers 49045, France ...
IEEE

Sequential Decomposition of Multiple Seasonal Components Using Spectrum-Regularized Periodic Gaussian Process

Abstract: Many real-world time series, such as electricity demand data, biomedical signals, and mechanical vibration signals, exhibit complex trends, encompass multiple seasonal (or periodic) ...