Not all MMM tools are equal: Meridian, Robyn, Orbit, and Prophet explained

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.
Open Heart

Machine learning-based cardiovascular risk calculator for non-cardiac surgery

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
IEEE

Research on Athlete Momentum Based on Linear Regression Algorithm and BP Neural Network

Abstract: This paper investigates the momentum of athletes using a combination of linear regression and BP neural network algorithms. Firstly, we quantify momentum based on players’ winning streaks, ...
Learn With Jay on MSN

Linear regression cost function explained for beginners

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in ...
Learn With Jay on MSN

Linear regression using gradient descent explained simply

Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient ...
Journal of Epidemiology and Community Health (JECH)

Scalable regionalised quality improvement model for ACS management in resource-limited primary healthcare facilities

Background Prehospital delays remain critical barriers to timely acute coronary syndrome (ACS) care, particularly for ...
SciELO

Estimation of soil water content based on simulated multi-spectral broadband reflectance and machine learning

Out-of-bag (OOB) importance analysis was applied to extract feature variables. The nonlinear model random forest (RF) outperforms the linear model for soil water content retrieval. The coupled OOB and ...
Microsoft

Investigating Online Low-Footprint Speaker Adaptation Using Generalized Linear Regression and Click-Through Data

To develop speaker adaptation algorithms for deep neural network (DNN) that are suitable for large-scale online deployment, it is desirable that the adaptation model be represented in a compact form ...
IEEE

Prediction of Wind Power Generation using Novel Linear Regression Algorithm Compared over Lasso Algorithm for Improving Accuracy Rate

Abstract: This paper is a novel approach to improving the accuracy of wind power generation predictions by using linear regression (LR) algorithm differentiated with the Lasso regression (LaR). The ...
GitHub

Salary_prediction using Linear_Regression

This is a machine learning-based web application built with Flask that predicts the estimated salary of an individual based on their: Years of Experience Education Level Location Previous Salary The ...