A team of scientists from EPFL and Alaska Pacific University has developed an AI program that can recognize individual bears ...

Introduction Maternal and child mortality has markedly decreased worldwide over the past few decades. Despite this success, the decline remains unequal across countries and is overall insufficient to ...

Choose your path! This repository prepares you for multiple ML/AI careers. Select your target role to see a customized learning path: Role Focus Est. Time Key Modules ...

Abstract: Competency-based education (CBE) in higher education demands interpretable and scalable tools to monitor student progress. Current studies on CBE have used small samples in short evaluation ...

Abstract: Depression is a significant mental health problem and presents a challenge for the machine learning field in the detection of this illness. This study explores automated depression ...

I passed the AWS Certified Machine Learning Engineer Associate on July 4th 2025 and created these notes during my study journey. 70%: Deep dive into Amazon SageMaker and its thoushand features. 20%: ...

Machine learning is increasingly applied in environmental chemistry for contaminant screening and property prediction, yet consistent benchmarks are lacking. We compared eight graph neural networks ...

Copyright: © 2025 The Author(s). Published by Elsevier Ltd.

Cardiovascular diseases (CVDs) are the leading cause of death worldwide, accounting for millions of deaths each year according to the World Health Organization (WHO). Early detection of these diseases ...

Objective: This study aims to develop an explainable machine learning model, incorporating stacking techniques, to predict the occurrence of liver injury in patients with sepsis and provide decision ...