Using sklearn.RandomizedPCA to drastically reduce PCA running times.

Hello again, the last post (for now) about dimensionality reduction tackles the problem that, even if the trick that we talked about in the last post can reduce memory consumptions and execution times, sometimes it is still not enough. We experience this when working on facial recognition here at Meerkat, in which we…

Small trick to compute PCA for large training datasets

In the last post, we talked about the choice of method for dimensionality reduction and how PCA is sometimes overused due to its popularity and available implementation in several libs. Having said that, we still gonna talk about PCA, because we use it a lot!…