Abstract: Linear regression is a very simple machine learning model that is supposed to find linear relations between input and output data. Its use is limited since real-world random variables are ...

With age comes wisdom—and the women of this year’s 50 Over 50 list are living proof. Knowing what they know now, what would they tell their younger selves? We asked, and they answered. The Forbes 50 ...

This article considers the problem of inference for nested least squares averaging estimators. We study the asymptotic behavior of the Mallows model averaging estimator (MMA; Hansen, 2007) and the ...

After a historic 2024 season with over 2,200 yards, Saquon Barkley remains a high-end RB1 in 2025 fantasy football despite concerns over regression and Jalen Hurts’ red zone dominance. The change in ...

The digital low-dropout (LDO) linear regulator is one of the latest innovations in the power industry, bringing telemetry and adjustability to a linear power supply in a very small footprint. The ...

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, ...

Attention-based architectures are a powerful force in modern AI. In particular, the emergence of in-context learning abilities enables task generalization far beyond the original next-token prediction ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of linear regression with two-way interactions between predictor variables. Compared to standard linear ...

This repo aims at providing a collection of efficient Triton-based implementations for state-of-the-art linear attention models. All implementations are written purely in PyTorch and Triton, making ...