Your modeling efforts are going to be fruitless. This catch is not specific to linear regression. It applies to any machine learning model in any domain — if the features available aren’t ...

Machine Learning, a subdomain of Artificial intelligence, is a pervasive technology that would mold how chemists interact with data. Therefore, it is a relevant skill to incorporate into the toolbox ...

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 ...

In computational chemistry and chemoinformatics, the support vector machine (SVM) algorithm is among the most widely used machine learning methods for the ... relevant features of classification and ...

A regression ... machine learning technique is a binary classification system in spite of its name. There are many different techniques available to create a regression model. Some common techniques, ...

Air pollution is of high relevance to human health. In this study, multiple machine-learning (ML) models—linear regression, random forest (RF), AdaBoost, and neural networks (NNs)—were used to explore ...

In recent years, there has been a rapid growth in the use of machine learning in material science. Conventionally, a trained predictive model describes a scalar ... This is an extension of kernel ...