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 ...

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

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

A playbook for leaders to master AI analytics, overcome scaling hurdles, control costs, empower teams, prove ROI and achieve ...

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.

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

This repository showcases a collection of machine learning projects that I have worked on, applying various algorithms and techniques to solve real-world problems.

Mixture-of-Experts (MoE) models are revolutionizing the way we scale AI. By activating only a subset of a model’s components ...