Review of Singular Value Decomposition (SVD)
Low rank approximation with SVD
Discovering dominant spatiotemporal modes in LFP with SVD
Sparsity in statistics
Sparse PCA
Variance-Sparsity trade-off
Parameter Tuning
PCA as a regression problem
Regularization and variable selection via the elastic net Tuning [LARS-EN]


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CHAPTERS:

00:31 #1. Review of Singular Value Decomposition (SVD)
9:34 #2. [MATLAB] PCA and SVD for finding latent dynamics
52:20 #3. Low rank approximation with SVD
01:04:21 #4. [MATLAB] Discovering dominant spatiotemporal modes in LFP with SVD
01:31:03 #5. Sparse PCA
02:01:54 #6. [MATLAB] Sparse PCA

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