[D] Modern Dimensionality Reduction

Hey All,

I’m familiar with the more classical techniques of dimensionality reduction like SVD, PCA, and factor analysis. But are there any modern techniques or maybe some tricks that people have learned over the years that they would like to share. For context, this would be for tabular data. Thanks!

analysis context data dimensionality hey machinelearning modern people svd tabular tabular data tricks