Researchers found that the Gaussian Process Regression (GPR) machine learning model is the most reliable tool for forecasting ...
The demand for AI human resources in Vietnam is exploding. TopDev reports continuously show that AI/Machine Learning is a ...
Background Community resilience is a relevant concept in public health, but its empirical relationship with health outcomes ...
Student Mark Prediction is a machine learning web application that predicts students' exam scores based on various demographic and academic features. Built with Streamlit and powered by a linear ...
ABSTRACT: This paper introduces a method to develop a common model based on machine learning (ML) that predicts the mechanical behavior of a family with three composite materials. The latter are ...
Although [Vitor Fróis] is explaining linear regression because it relates to machine learning, the post and, indeed, the topic have wide applications in many things that we do with electronics and ...
Abstract: In recent years, unsupervised linear regression has attracted attention for its ability to directly capture the mapping relationship between samples and targets. However, existing algorithms ...
Abstract: Linear regression is a classical statistical model with a wide range of applications. The function of linear regression is to predict the value of a dependent variable (the output) given an ...
ABSTRACT: This research aims to develop reliable models using machine learning algorithms to precisely predict Total Dissolved Solids (TDS) in wells of the Permian basin, Winkler County, Texas. The ...
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