The Ph.D. program at Gallaudet University prepares scholars and practitioners to lead in the design, development, and ...

This month's LCGC Blog from Jonnie Shackman from the America Chemical Society (ACS) reflects on how early experiences with computer programming shaped the author’s understanding of fundamental logic, ...

Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.

MIT researchers have developed a method that generates more accurate uncertainty measures for certain types of estimation.

A century ago, two oddly domestic puzzles helped set the rules for what modern science treats as "real": a Guinness brewer ...

An ad hoc panel of nationally renowned experts in social science research, computing technology, statistical methods, privacy, and use of alternative data sources in the United States and abroad will ...

Researchers at North Carolina State University have developed a new suite of statistical methods that dramatically improves the ability to pinpoint DNA changes responsible for important traits in ...

Single-cell genome sequencing techniques have recently emerged, enabling high-throughput transcriptome profiling at the level of individual cells. Among ...

It offers four tabs under Visualize that include Chart type, Refine, Annotate, and Layout. The last one lets you view your chart through different color-vision-deficiency filters, with automatic dark ...

Some 80% of smartphone users don't leave home without their devices. So, wherever users are, they continue receiving updates, emails, and other forms of info. The deluge of information is steady and ...

"Dirty data"—data that has issues such as being incorrect or incomplete—can slow down operations, waste resources, and drive bad decisions. The solution to the problem is data cleansing, which is the ...

Neuroscience and perception science are rapidly evolving fields that increasingly rely on the integration of multimodal data to better understand the ...