A UK study found that nearly all families occasionally eat takeaway food together, with most using it as a convenient, social ...

Struggling to understand how logistic regression works with gradient descent? This video breaks down the full mathematical derivation step-by-step, so you can truly grasp this core machine ...

This valuable study investigates how stochastic and deterministic factors are integrated during cellular decision-making, particularly in situations where cells differentiate into distinct fates ...

Background and aims Quantifying systemic inflammation (SI) in acutely decompensated cirrhosis (ADC) is of major importance ...

Wosnitza finds that one of the new single-parameter families outperforms the linear logistic regression on a real world data set. The final paper in the issue, “Sovereign credit risk modeling using ...

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 ...

One key difference between these two types of games is how they approach replayability. Linear games often have a limited replay value as there is only one way to play through them, while nonlinear ...

This project implements a machine learning model to detect fake news articles. It uses text preprocessing techniques and a Logistic Regression model to classify news articles as real or fake. 2.Run ...