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Mastering machine learning from code to tuning

From implementing KNN, PCA, and clustering to applying deep learning and scientific tuning, these resources show how to build, refine, and optimize machine learning models. They combine hands-on ...
IEEE

Enhancing Random Forest Using Genetic Algorithm for Lifelong Machine Learning

Abstract: Learning over time for machine learning (ML) models is emerging as a new field, often called continual learning or lifelong Machine learning (LML). Today, deep learning and neural networks ...
The Lancet

Causal deep learning for real-time detection of cardiac surgery-associated acute kidney injury: derivation and validation in seven time-series cohorts

aMedical Big Data Research Center, Chinese The People’s Liberation Army General Hospital, Beijing, China bNational Engineering Research Center of Medical Big Data Application Technology, The People’s ...
GitHub

Ransomware Detection Using Static Machine Learning Features

This project evaluates how effectively static features extracted from Windows Portable Executable (PE) files can distinguish ransomware from benign software using supervised machine learning. This ...
IEEE

Machine Learning in Skin Cancer Classification: A Review of CNN, SVM and KNN Models

Abstract: The worldwide increase of skin cancer manifests as a rising concern for early intervention which helps to decrease fatality rates and enhance survival statistics. Visual checks together with ...