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I'd like to get a good introduction to random projections. Something halfway between application and theory, free and accessible with a light-moderate ML background would be ideal. |
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You can read this which isn't too theory heavy: Experiments with Random Projections for Machine Learning , and maybe this one too that actually came out from the database community. These papers also have some reference to the background (e.g., proofs of the Johnson-Lindenstrauss lemma). |
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For a thorough mathematical background (not sure how much of applications) there's also The Random Projection Method by Santosh Vempala. |
