Question about pca proof in deeplearning by ian goodfellow
25410
What is an intuitive explanation for how PCA turns from a geometric problem (with distances) to a linear algebra problem (with eigenvectors)?
81049
What norm of the reconstruction error is minimized by the low-rank approximation matrix obtained with PCA?
82075
Understanding the trial division primality test
81645
Combining PCA, feature scaling, and cross-validation without training-test data leakage
112934
Is PCA followed by a rotation (such as varimax) still PCA?
113346
What is the proper association measure of a variable with a PCA component (on a biplot / loading plot)?
4244
How to compute PCA scores from eigendecomposition of the covariance matrix?
100779
having a question on the symbol $dN_p$ when writing down its correspondence matrix
114794
Is there any advantage of SVD over PCA?
85031
How to interpret this PCA biplot to determine which attributes to pick?
145118
How does the proof of Rejection Sampling make sense?
41356
Reason for square images in deep learning
136852
Convolution operator in CNN and how it differs from feed forward NN operation?
118103
Does PCA's reconstruction error get reduced with more PCs being used?
116362
Is PCA unstable under multicollinearity?
40850
How does AdamW weight_decay works for L2 regularization?
154757
One component in PCA is always the mean vector in two-dimensions but not three