Dimensionality reduction is one among many tools data scientists can use to make better machine learning models. And as with every tool, they must be used with caution and care.

Built-in function vs. numerical methods 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 ...