Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable ...

A new study in Small introduces OptiMate, a machine learning model that predicts optical properties and identifies ...

The Zephyrus G16 is ideal for machine learning ... for example, fine-tuning BERT for text classification, or training ResNet-level image classifiers, as well as run larger pre-trained models ...

Studies leveraging NIR and CNNs report accuracies exceeding 95%, with some achieving perfect classification for pure fibers.

Euclidean Fundamental Value ETF started out strong, but it has delivered returns close to the bottom of its category over ...

Minitab’s Analytics Solutions design manager, Bass Masri, explores the company’s analytics solutions that assure quality ...

Researchers from Rice University (TX, USA) have developed a new machine learning algorithm that interprets optical spectra of molecules, materials and disease biomarkers in biological samples, ...

This study is the first to leverage such observational data in conjunction with the power of machine learning algorithms. "Our model combines two decision tree algorithms, trained on thickness ...

Across various classes, the researchers identified a model that, when coupled with appropriate data augmentation and ...

Microsoft says it mitigated a known issue in one of its machine learning (ML) models that mistakenly flagged Adobe emails in Exchange Online as spam. As the company revealed in an advisory on the ...