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) ...

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 ...

Background: Pregnant women and newborns are at-risk groups for coronavirus disease 2019 (COVID-19). There is a paucity of evidence to prove the degree of perinatal passive immunity transfer from COVID ...

ABSTRACT: Egg loss is one of the major problems in the egg hatching industry. This study aims to support farmers in optimizing their egg hatch through the development of a prediction model. This is to ...

Although [Vitor Fróis] is explaining linear regression because it relates to machine learning, the post and, indeed, the topic have wide applications in many things that we do with electronics and ...

In environmental and nutritional epidemiology and in many other fields, there is increasing interest in estimating the effect of simultaneous exposure to several agents (e.g., multiple nutrients, ...

Have you ever found yourself staring at a spreadsheet, trying to make sense of all those numbers? Many face the challenge of transforming raw data into actionable insights, especially when it comes to ...

ABSTRACT: Data mining is the process of extracting useful information and knowledge from mass data. Through statistics, machine learning, pattern recognition and other technologies, data is analyzed ...

When you perform regression analysis in Microsoft Excel, you are engaging in a statistical process that helps you understand the relationship between variables. This technique is particularly useful ...