Machine Learning, Artificial Intelligence, Mathematics.
with unfamiliar raw data, PCA is very helpful to extract the principal components of your data to find the underneath information structure. This may answer some questions on how to find a needle in a haystack. Tips Scale features before performing SVD. Say, we want to retain 99% variance, we can