Abstract: Linear regression and its variants have achieved considerable success in image classification. However, those methods still encounter two challenges when dealing with hyperspectral image ...

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, ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Learn how to implement Logistic Regression from scratch in Python with this simple, easy-to-follow guide! Perfect for beginners, this tutorial covers every step of the process and helps you understand ...

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 project implements Multiple Linear Regression using Gradient Descent in pure Python (without external libraries like NumPy or Scikit-learn). The goal is to train a model that predicts an output ...

Abstract: In this paper, we consider the problem of learning a linear regression model on a data domain of interest (target) given few samples. To aid learning, we are provided with a set of ...