In today's data-rich environment, business are always looking for a way to capitalize on available data for new insights and ...

When Data Mining Meets Large Models: A New Paradigm of Data Value Mining in the Age of Artificial Intelligence ...

Sparse data can impact the effectiveness of machine learning models. As students and experts alike experiment with diverse datasets, sparse data poses a challenge. The Leeds Master’s in Business ...

1. Introduction: Two Evolutionary Paths to Data Democratization In the wave of digital transformation for enterprises, data analysis capability has become the core of competitiveness. However, ...

AI-enabled analytics are transforming healthcare from static data to real-time insights. A driving force behind this shift, Kiran Veernapu is modernizing systems to improve patient outcomes and ...

The adoption of IoT systems in healthcare is revolutionising how medical data is collected, organised, and analysed. By combining IoT devices with big data analytics and advanced AI/ML algorithms, ...

This article proposes a new method for analysing panel data based on modelling heterogeneity of individuals or entities as a regime-switching process. There are several advantages to this approach.

Data drives smart decision-making in modern industries, but the old saying still holds true: “Garbage in, garbage out.” The quality and completeness of the data pulled for analysis play a huge role in ...

This course is compulsory on the MPhil/PhD in Statistics. This course is available with permission as an outside option to students on other programmes where regulations permit. A knowledge of ...

Valdosta State University recently announced the launch of a new degree program — the Bachelor of Science in Data Science.