Doesn ' t work for me . Can ' t even add DROP 20 by itself for an ASUS card I was looking to buy . Definitely can ' t add both . <| sep |> Original post by uthefreshp in rtumblrnbspThis crosspost was performed automatically as a part of the ImagesOfNetwork . Learn more about the ImagesOfNetwork , how you can help , and other Frequently Asked Questions , or visit us on Discord ! Remove my post ! The bot got this one wrong ! Stop Crossposting My Stuff ! # match 2016 <| sep |> Anyone should correct me but intuitively , doing an SVD means doing a decomposing into three matrices One that contains data points One that contains the eigenvectors ie the basis on which those data points are spanned One that contains the eigenvalues ie the relative importance of those eigenvectors , which you can interpret as a kind of variance of your data . Multiplying those three corresponds to having datapoints in a Rn space , rotating this space so that your basis is aligned with your eigenvectors , and stretching the space . PCA means reducing your space into a reduced basis by keeping only the eigenvectors that are associated to the biggest eigenvalues . This was purely an intuitive interpretation so that might not be enough for you though .