Svd, Matrix Decomposition, Data Processing, Feature Engineering, Unsupervised Learning.
(which is what we wanted to avoid)? Correct! This example of SVD on an image provides a nice visualization of what singular vectors have to offer but is a tad misleading. In practice, there are certainly use cases for using the low-rank approximation of a matrix but for the most part the goal is