Discover how econometricians use math and statistics to analyze and predict economic trends, serving in finance and academia ...
The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...
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 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 ...
Michael O. Lawanson, a Nigerian data scientist at the University of Arkansas, United States, is at the forefront of global ...
A new research paper was published in Volume 17, Issue 11 of Aging-US on November 26, 2025, titled “Epigenetic aging ...
Objective To examine whether a multicomponent commercial fitness app with very small (‘micro’) financial incentives (FI) ...
Abstract: Duringthe design of electrical machines, multiple performance objectives need to be considered. Although stochastic optimization algorithms are extensively employed for this purpose, a ...
Abstract: Deep neural network advancements have led to significant progress in industrial applications, particularly in product recognition for smart automated vending machines (AVMs). This area has ...
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