This project uses a fruit dataset containing numerical measurements of different fruits. The features include mass, width, height, and color score. The dataset is processed and divided into training ...

Introduction A few years ago, I was solely responsible for an in-house demand forecasting model. The scores on the validation ...

Researchers in Türkiye combined transfer learning with MobileNetV2, Xception, and classical classifiers to classify five rice ...

Self-supervised learning creates training targets from the structure of unlabeled data, allowing models to learn ...

Plasma metabolomic profiling across the human life span yields two aging metrics linked to chronic disease and mortality.

This research aimed to identify novel oxidative stress (OS)–related biomarkers and develop predictive models for the early detection of pediatric sepsis. Five open-access datasets from the gene ...

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), ...

mlpack 是什么：Python 接口背后的 C++ 内核 根据官方包说明（setup_readme.md），mlpack 是一个用 C++ 编写、快速且灵活的机器学习库，目标是提供快速、可扩展的前沿机器学习算法实现。它通过 独立的 Python 函数 形式对外提供这些算法，而这些函数内部包装的是算法的 快速 C++ 实现。

支持向量机（SVM） ：含软间隔（slack variables）处理线性不可分、核技巧（kernel trick）处理非线性问题； 决策树与随机森林 ：通过信息增益分裂，组合弱学习器成为强学习器； K 近邻（K-NN） ：文档中专门标注为"lazy learning algorithm"。