Visual Studio Magazine

Linear Regression with Pseudo-Inverse Training Using JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
Frontiers

Optimization of diagnosis-related groups for patients with acute appendicitis using a machine learning model

Background: The diagnosis-related groups prospective payment system (DRG-PPS) is widely implemented worldwide. Its core components include disease classification and pricing mechanisms. Developing a ...
Visual Studio Magazine

Linear Regression Using JavaScript

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, ...
Scientific Research Publishing

Harrell, Jr. (2015) Regression Modeling Strategies with Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis. 2nd Edition, Springer.

ABSTRACT: There is a set of points in the plane whose elements correspond to the observations that are used to generate a simple least-squares regression line. Each value of the independent variable ...
Hosted on MSN

What Is Linear Regression In Machine Learning ? Understand With Examples

What is linear regression in machine learning ? Understanding Linear Regression in machine learning is considered as the basis or foundation in machine learning. In this video, we will learn what is ...
GitHub

[Feature Request]: Table of excluded variables in stepwise linear regression

When conducting a stepwise linear regression, I would like for JASP to generate a table with variables that were excluded from the final model. Something like SPSS does via the 'excluded variables' ...
Scientific Research Publishing

Prediction Model for Minimum Subsistence Allowance Standard Based on Principal Component Analysis-Based Multiple Linear Regression (PMLR) ()

Amid the wave of the digital age, advanced technologies such as big data, artificial intelligence, and cloud computing are driving precise analysis and forecasting across various fields. This paper ...
IEEE

Application of stepwise regression method in aerodynamic parameter identification of unmanned aerial vehicle

Abstract: The system identification theory is an important tool for modeling vehicle dynamics. Aiming at the situation that the unmanned aerial vehicle (UAV) flight test conditions are limited and ...
C&EN

Transferability of Machine Learning Models for Geogenic Contaminated Groundwaters

State Environmental Protection Key Laboratory of Source Apportionment and Control of Aquatic Pollution, China University of Geosciences, Wuhan 430078, China School of Environmental Studies, China ...
CoinTelegraph

'Quantile Regression' Bitcoin price model hints at $275K BTC by November 2025

A Bitcoin researcher says a quasi-exponential decay trend could even see BTC's price going as high as $300,000 in 2025. After dropping 3.45% on Sept. 30, Bitcoin (BTC) missed out on a monthly bullish ...