The goal of a machine learning regression problem is to predict a single numeric value. For example, you might want to predict the annual income of a person based on their sex (male or female), age, ...

Ink authentication is often complicated by tampering, aging, and chemical variability. Now, forensic scientists are turning ...

The disease is known for its strong association with climatic variables, especially excessive rainfall, high humidity, and ...

In machine learning, typically non-linear regression techniques are used. Examples of nonlinear regression algorithms include gradient descent, Gauss-Newton, and the Levenberg-Marquardt methods.

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...