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.
eLife

Reconstructing voice identity from noninvasive auditory cortex recordings

A low-dimensional voice latent space derived from deep learning captures speaker-identity representations in the temporal voice areas and supports reconstruction of voices preserving identity ...
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 ...
IEEE

A Novel Hardware Efficient FPGA Implementation of Multi-Linear Regression Algorithm

Abstract: Multi-linear regression (MLR) algorithm is simple but one of the powerful machine learning algorithms for prediction where output linearly depends on the independent variables. This work ...
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 ...