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

Sparse logistic regression (SLR), which is widely used for classification and feature selection in many fields, such as neural networks, deep learning, and bioinformatics, is the classical logistic ...

In this article, we introduce a neural network model for regression in which prediction uncertainty is quantified by Gaussian random fuzzy numbers (GRFNs), a newly introduced family of random fuzzy ...

By using the predictive AI model, the team also discovered that income and insurance status were among the top five predictors of 30-day readmission during pregnancy and delivery-related ...

By adopting a lean security model, powered by Intruder’s exposure management platform, the team was able to improve visibility, respond faster to threats, and empower others across the business to fix ...

Linear Trees combine the learning ability of Decision Tree with the predictive and explicative power of Linear Models. Like in tree-based algorithms, the data are split according to simple decision ...