Researchers have revealed in a new study that the Lipid Accumulation Product (LAP) — a combination of waist circumference and fasting triglyceride levels — is a better indicator of ...

What is linear regression in machine learning ? Understanding Linear Regression in machine learning is considered as the ...

ABSTRACT: This nonexperimental survey-based online quantitative study measures how technical training for nonprofit managers affects their use of big data technology. The research employs the Unified ...

This study presents compelling evidence that the denitrosylase SCoR2 regulates cardioprotective metabolic reprogramming in the heart following ischemia/reperfusion injury. The findings are supported ...

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

Predicting car prices using multiple linear regression. This project uses real-world automotive data to train a machine learning model capable of estimating car prices based on technical ...

The linear model is a modelling workhorse for data analyses commonly referred to in the social and behavioural sciences as regression analysis and is ... covering descriptive (e.g., mean, variance, ...

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 ...

Abstract: Pairs of binary sequences formed using linear combinations of multiplicative characters of finite fields are exhibited that, when compared with a random sequence pairs, simultaneously ...

Experimental results show that grouped correlation-based feature ordering approach can exhibit better performance than others based on IAL neural networks in regression. Moreover, the performance of ...