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.

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 ...

Objective The effect of fall prevention exercise programmes in residential aged care (RAC) is uncertain. This paper reports on an intervention component analysis (ICA) of randomised controlled trials ...

Inside living cells, mitochondria divide, lysosomes travel, and synaptic vesicles pulse—all in three dimensions (3Ds) and constant motion. Capturing these events with clarity is vital not just for ...

Objective To determine the net effect of different physical activity intervention components on step counts in addition to self-monitoring. Design A systematic review with meta-analysis and ...