The Unreasonable Effectiveness of Random Projections in Computer Science

In the series "The Unreasonable effectiveness of", we've had Deep Learning, Random Forests, Recurrent Neural Networks, Consensus Labeling. Today (though it was presented in December of last year) we have:  The Unreasonable Effectiveness of Random Projections in Computer Science by Bob Durrant

 

PS: As Gabriel pointed out, the whole meme started with Wigner who also happened to have played a big part in Random Matrix Theory.

 Slide from Roman Vershynin in Random matrix theory from the functional analytic perspective

References:

• The Unreasonable Effectiveness of Deep Learning by Yann LeCun
• The Unreasonable Effectiveness of Random Forests by Ahmed El Deeb
• The Unreasonable Effectiveness of Recurrent Neural Networks by Andrej Karpathy
• The Unreasonable Effectiveness of Consensus Labeling by Robert Grossman
• The Unreasonable Effectiveness of Data by Alon Halevy, Peter Norvig, and Fernando Pereira.
• The Unreasonable Effectiveness of Mathematics in the Natural Sciences by Eugene Wigner

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