For more than three decades, DHS provided vital demographic and health data on population, health, HIV, and nutrition in over ...

Statistical machine learning is at the core of modern-day advances in artificial intelligence, but a Rochester Institute of Technology professor argues that applying it correctly requires equal parts ...

Statistical data science represents an interdisciplinary field that merges the rigour of probability theory and statistical inference with modern computational tools to draw insights and make ...

A century ago, two oddly domestic puzzles helped set the rules for what modern science treats as "real": a Guinness brewer charged with quality control and a British lady insisting she can taste ...

Misuse of statistics in medical and sports science research is common and may lead to detrimental consequences to healthcare. Many authors, editors and peer reviewers of medical papers will not have ...

Offered through an interdisciplinary partnership, data science at CU Boulder is delivered by the Departments of Applied Mathematics, Computer Science, and Information Science and awarded by the ...

Citizen Science to Bridge Statistical Gaps. As large-scale demographic surveys decline worldwide, the challenge of producing reliable population statistics has become increasingly ...

Welcome to a realm where knowledge transcends boundaries. My approach merges Aristotelian holistic wisdom with Platonic unity, rejecting fragmentation in mathematical sciences. Guiding students, I ...

Purdue’s innovative Master of Science in Data Science (MSDS) is an accessible, skills-focused master’s designed to meet the needs of professionals who have some background in data science and want to ...