May 13, 2024, 2:57 p.m. | /u/Odd_Background4864

Machine Learning

Hey All,

We know that feature reduction/Compression can be used via AutoEncoders, SVD, PCA, etc.

- Are there any methods that anyone can think of other than these that have worked for them?
- When using feature reduction, are there any techniques/gotcha’s that you’ve learned over the years that you’d want to share?

autoencoders compression etc feature hey machinelearning pca svd them think via

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