Abstract: Most microwave sensors establish a relationship between electrical parameters or dielectric properties with the property of interest of a sample using simple linear regression to make ...

Deep learning-based predictions of gene perturbation effects do not yet outperform simple linear baselines. Constantin Ahlmann-Eltze, Wolfgang Huber, Simon Anders ...

Regression analysis is highly relevant to agricultural sciences since many of the factors studied are quantitative. Researchers have generally used polynomial models to explain their experimental ...

Utilities aren’t just a safe sector with limited growth prospects. The fund sports a mere 0.09% expense ratio, or less than a dollar in fees for every $1,000 invested. And with a 2.7% yield and a 21.4 ...

This project contains implementations of simple neural network models, including training scripts for PyTorch and Lightning frameworks. The goal is to provide a modular, easy-to-understand codebase ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

The excitement of getting online delivery has become such a part of our daily lives that most of us barely bat an eyelid when a delivery notification pops up on our phones. However, shipping companies ...

Whether you're sweating out a killer heat wave or trying to go for a run in sweltering temperatures, heat stroke can sneak up on you. This condition, in which heat overwhelms your body's ability to ...

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 ...

Warren Buffett has made his billions largely through investing. His uncanny ability to predict the behaviors of the market have served him — and the many investors who mirror his moves — remarkably ...