Svd, Matrix Decomposition, Data Processing, Feature Engineering, Unsupervised Learning.
get things to the same scale, we can normalize the data by, for example, mean-centering and dividing by the standard deviation. Assuming A and B above have been normalized, and knowing nothing about how A and B relate to the number of commuters, we could pick A over B to use in modeling the number