Summer learning loss, also known as the “summer slide,” represents a significant challenge in education where students experience academic regression during extended breaks from formal instruction.

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...

Applegate says many recent debates about summer learning loss are focused on whether students are losing academic gains or losing skills and to what degree does summer break contribute to the loss.

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

The application’s recent development efforts enhance internal theft analysis, using machine learning (ML) to continuously help improve loss event identification accuracy, accelerate evidence ...