Introduction: Anxiety and depression are common among hypertensive patients and can lead to significant health complications. This study aimed to use Extreme Gradient Boosting (XGB) machine learning ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Scattering experiments using ultrashort X-ray free electron laser pulses have opened a ...

Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and code made simple. Trump's sons distance themselves from new Trump-branded ...

Learn how to implement SGD with momentum from scratch in Python—boost your optimization skills for deep learning. Neighbors sued Boise over pickleball noise. Now, city moves to shutter courts Man ...

In the rapidly evolving world of corporate finance and investments, the demand for advanced analytical methods to guide decision-making processes has never been greater. Traditionally, finance relied ...

In this tutorial, we demonstrate how to efficiently fine-tune the Llama-2 7B Chat model for Python code generation using advanced techniques such as QLoRA, gradient checkpointing, and supervised ...

ABSTRACT: As drivers age, roadway conditions may become more challenging, particularly when normal aging is coupled with cognitive decline. Driving during lower visibility conditions, such as ...

Abstract: This paper presents an innovative algorithm that combines mini-batch gradient descent with adaptive techniques to enhance the accuracy and efficiency of localization in complex environments.

LEAP is a general purpose Evolutionary Computation package that combines readable and easy-to-use syntax for search and optimization algorithms with powerful distribution and visualization features.