Discover how econometricians use math and statistics to analyze and predict economic trends, serving in finance and academia ...
Introduction We aimed to determine the association between paternal labour migration and the growth of the left-behind ...
Recent data suggests a significant positive relationship between the Triglyceride-Glucose (TyG) index—a marker of insulin ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
This study re-examines the non-linear relationship between inflation and economic growth in Southern African Development ...
Background Inflammatory bowel disease (IBD) arises from complex interactions among diet, host and gut microbiome. Although diet influences intestinal inflammation, the microbial and metabolic pathways ...
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Linear regression cost function explained for beginners
Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in ...
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Linear regression using gradient descent explained simply
Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient ...
Background Prehospital delays remain critical barriers to timely acute coronary syndrome (ACS) care, particularly for ...
Background The National Heart Failure Audit gathers data on patients coded at discharge (or death) as having heart failure as ...
Objective To analyse temporal trends of respiratory infectious diseases (RIDs) in Baiyin City from 2014 to 2023, aiming to explore the epidemiological patterns of these diseases (tuberculosis, scarlet ...
Abstract: The present work focuses on the comprehensive implementation of gas/mixture identification employing chemometric analysis followed by on-chip realization. The chemometric analysis has been ...
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