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

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 ...

MMM isn't a replacement for all attribution, but it is a powerful strategic layer that can restore clarity to marketing ...

The IoT greenhouse intelligent control system is based on IoT technology, employing a three-tier architecture of 'perception ...

Explore the importance of robust statistics like median and MAD in data analysis, ensuring accurate insights despite outliers ...

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

Bankruptcy prediction has traditionally relied on statistical approaches such as Altman’s Z-score, which use financial ratios ...

Joseph Alderman et al argue that predictive models in healthcare lack adequate oversight and regulation. They highlight the ...

Language models seem to be more than stochastic parrots. Does this knowledge stop them from making mistakes, or do they need ...

Wang, S. (2025) A Review of Agent Data Evaluation: Status, Challenges, and Future Prospects as of 2025. Journal of Software ...

Behavioral variability is quietly sabotaging clinical trials—but it doesn't have to. Here's how predictive behavioral modeling can improve trial design, reduce dropout, and deliver more inclusive, ...

Alabama is leading the way in integrating data literacy into grades 6–12, training over 1,400 teachers to embed data science ...