Svd, Matrix Decomposition, Data Processing, Feature Engineering, Unsupervised Learning.
data is 1 (i.e. it can all fit on a line). Consider a large dataset of users where the first feature is the user’s age, the second feature is the user’s age multiplied by 2, the third feature is the user’s age multiplied by 3 and so on. Most of that dataset is redundant since all the information is