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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 ...
In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green ...
Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
Explore how nanotechnology acts as the 'Convergence Engine' for AI materials discovery, CRISPR gene therapy delivery, and ...
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No-code machine learning development tools
Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...
When pitching the use of a model, data scientists rarely report on its potential value. They then experience an unnerving ...
Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work ...
Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...
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