Researchers from Rice University (TX, USA) have developed a new machine learning algorithm that interprets optical spectra of ...

Swiss researchers use DXA data and machine learning to predict fracture risk in women, with logistic regression delivering ...

The financial sector is heavily data driven. Every day, trillions of data is generated by the global financial system; these ...

By combining machine learning-based text classification and sentiment analysis, we can create a robust AI-powered email ...

Stromatolites in such extreme settings offer critical insight into life’s adaptability and leave behind distinct ...

Subtle differences in how people grasp everyday objects may help identify autism, according to a new study published in ...

Despite substantial advancements in the management of cardiogenic shock, mortality rates remain greater than 40%. Trials have ...

Each notebook is self-contained and demonstrates how to apply the algorithm with visualization and basic explanations.

The performance of five machine learning algorithms (logistic regression, support vector machine, random forest, XGBoost and CatBoost) was evaluated using accuracy, sensitivity, specificity, positive ...

Discover how xG (Expected Goals) is calculated in football using advanced data and AI. Learn about the key variables, machine ...

Learning Algorithms,Ligament Injuries,Logistic Regression,Machine Learning,Machine Learning Pipeline,Monitoring Solutions,Multiple Classes,Precision And Recall,Random Forest,Random Forest ...