Understanding the properties of different materials is an important step in material design. X-ray absorption spectroscopy ...

Principal component analysis (PCA) is a classical machine learning technique. The goal of PCA is to transform a dataset into one with fewer columns. This is called dimensionality reduction. The ...

X-ray absorption spectroscopy (XAS) provides valuable information about a material’s properties and electronic states.

Financial impact of generic therapeutic interchange of abiraterone in the oncology care model for the U.S. Oncology Network. Olaparib combined with abiraterone versus olaparib alone for patients with ...

Transforming a dataset into one with fewer columns is more complicated than it might seem, explains Dr. James McCaffrey of Microsoft Research in this full-code, step-by-step machine learning tutorial.