Statistical learning is a branch of machine learning in which computers find patterns without explicit programming and has a wide array of applications from speech recognition to sport analysis. In ...

High-dimensional -omics data such as genomic, transcriptomic, and metabolomic data offer great promise in advancing precision medicine. In particular, such data have enabled the investigation of ...

Looking to get into statistical programming but lack industry experience? We spoke with several statistical programmers from diverse backgrounds, and one thing became clear—there’s no single path to ...

The R programming language is an important tool for development in the numeric analysis and machine learning spaces. With machines becoming more important as data generators, the popularity of the ...

Andrea Zellner is a Phd student in the Ed Psych/Ed Tech program at Michigan State University. She can be found on Twitter @AndreaZellner. This post will focus completely on the ways in which I have ...