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.

Nanopores are tiny, nanometer-scale apertures that are synthetically produced in manufactured materials as well as biological membranes. They allow ions or molecules to pass through and have been ...