Data analysis is a fundamental process in any project. However, data can be lumped into different types, with categorical and ...

Replication, validation and extension of experiments are crucial for scientific progress. Computational experiments are scriptable and should be easy to reproduce. However, computational analyses are ...

Good data quality is crucial for successful data and analytics initiatives and is increasingly pivotal to artificial intelligence impact. D&A leaders, including chief data and analytics officers, are ...

Functional data analysis is typically conducted within the L²-Hilbert space framework. There is by now a fully developed statistical toolbox allowing for the principled application of the functional ...

In today's business world, decisions are driven by data. All departments—from marketing to engineering to sales to operations—rely on data to measure progress, understand customers and inform strategy ...

Recently, the NT Data Analysis Team and RNKEX Annual Year-End Conference was successfully held. More than 2,000 team members ...

Overview: Artificial Intelligence is revolutionizing modern education by making learning smarter, more personalized, and ...