Antimicrobial resistance is a growing health crisis that could lead to millions of deaths by 2050, according to the World ...

ML.NET is a cross-platform open-source machine learning (ML) framework for .NET. ML.NET allows developers to easily build, train, deploy, and consume custom models in their .NET applications without ...

Machine Learning in Fraud Detection Market size is expected to reach USD 302.9 billion by 2034, projected at a CAGR of 35.8%.

While ML models are powerful tools for predicting diabetes, their lack of interpretability presents a major challenge for clinical adoption. Healthcare professionals require AI models to not only be ...

Traditional authentication methods, such as single-factor passwords, have proven inadequate in combating sophisticated cyber ...

In literature, diverse Machine Learning models are employed for Parkinson’s disease ... Consequently, we propose an Explainable balanced Recursive Feature Importance with Logistic Regression (XRFILR) ...

This repository compares the performance of Adaline, Logistic Regression, and Perceptron models on binary classification tasks using linearly, non-linearly, and marginally separable datasets from the ...

Chemical Reaction Hazards, Drug Substance & Drug Product, Clinical Manufacture & Supply, Process Technology & Development, Operations, AstraZeneca, Macclesfield SK10 ...