PCA is an important tool for dimensionality reduction in data science and to compute grasp poses for robotic manipulation from point cloud data. PCA can also directly used within a larger machine ...

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.

Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

Machine learning algorithms have been used to predict cancer progression, identify early signs of Parkinson’s disease, and ...

A research team has unveiled a non-destructive, highly accurate approach for determining the optimal timing of embryo rescue ...

Accurate measurement of time-varying systematic risk exposures is essential for robust financial risk management.