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 ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
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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 The National Heart Failure Audit gathers data on patients coded at discharge (or death) as having heart failure as ...
Background Prehospital delays remain critical barriers to timely acute coronary syndrome (ACS) care, particularly for ...
Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...
Abstract: This study looks at how different regression models perform and respond to variations in the number of features in the dataset. This study focuses on how models behave, diverge, or fail ...
Abstract: The support vector machine (SVM) is one of the most well-known supervised machine learning algorithms. SVM offers a variety of flexible kernel methods to suit different datasets from ...
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