Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles ...

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

The job market faces a persistent gap between AI knowledge and practical application. Employers seek professionals who can navigate real-world challenges.

The USDSI Certified Data Science Professional (CDSP) program equips learners with industry-ready skills in Data Science, ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Barry S. Honig  The bulk materials industry is undergoing a significant technological transformation. Organizations across ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Interpretability of Support Vector Machine (SVM) or Neural Networks (NN) models, examples of black-box models, is a field of study that has recently gained attention, especially for the significant ...

Machine learning models are increasingly applied across scientific disciplines, yet their effectiveness often hinges on heuristic decisions such as data transformations, training strategies, and model ...

ABSTRACT: Heart disease remains one of the leading causes of mortality worldwide, accounting for millions of deaths annually. Early detection of individuals at risk is essential for reducing ...