This repository includes theoretical notes, slides, and hands-on R examples for exploring Bayesian Linear Regression. It introduces both classical and Bayesian regression methods, showing how to ...

Abstract: This paper introduces a generalized quantum-classical dual kernel learning method for Support Vector Machines (SVMs), extending its application to both classification and regression tasks.

Net income is a key financial indicator that reflects the actual performance of the banking sector and its ability to achieve long-term profitability and sustainability. According to World Bank ...

Families in Miami-Dade seem increasingly interested in having their children study the classics — think Socrates, Plato and Aristotle. As classical education charter schools like True North move into ...

RESTORING AMERICA’S ARCHITECTURAL GRANDEUR: Today, President Donald J. Trump signed an Executive Order mandating that Federal public buildings, such as courthouses and government office buildings, ...

Nvidia Corp. announced today that it’s expanding its offerings of smarter AI models, physical intelligence for robotics and powerful enterprise AI servers. Leading the news at the ACM SIGGRAPH 2025 ...

Google published details of a new kind of AI based on graphs called a Graph Foundation Model (GFM) that generalizes to previously unseen graphs and delivers a three to forty times boost in precision ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...

ABSTRACT: The United States (US) capitalism (C), democracy (D), rule of law (R) (CDR) economic model combines the degree of C, D and R associated with a particular state. In prior research, the CDR ...

Abstract: A linear regression model with correlated regressors having a contaminated Gaussian distribution is considered. To overcome multicollinearity, the method of constructing regression on ...