Data science roles in the industry

Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles ...
The Motley Fool

What Is a Statistical Model? Overview and Example

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...
jnis.bmj

Statistical principles in neurointervention part 2. Multivariable analysis: generalized linear models, modification, confounding, and mediation

Neurointervention is a highly specialized area of medicine and, as such, neurointerventional research studies are often more challenging to conduct, require large, multicenter efforts and longer study ...
Scientific Research Publishing

James, G., Witten, D., Hastie, T., Tibshirani, R., & Taylor, J. (2023). Linear Regression. In G. James, D. Witten, T. Hastie, R. Tibshirani, & J. Taylor (Eds.), An Introduction ...

ABSTRACT: Nowadays, understanding and predicting revenue trends is highly competitive, in the food and beverage industry. It can be difficult to determine which aspects of everyday operations have the ...
The New York Times

Bonds Beats the Babe! Statistical Model Crowns a New ‘Greatest’ in Baseball

A new ranking methodology places Barry Bonds over Babe Ruth as the game’s best player ever. Statisticians, at least, are cheering. By Alexander Nazaryan Every sport has its arguments over which player ...
CU Boulder News & Events

How deep is that snow? Machine learning helps us know

CU Boulder researchers apply machine learning to snow hydrology in Colorado mountain drainage basins, finding a new way to accurately predict the availability of water Determining how much water is ...