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Compressing Zip Codes with Generalized Low Rank Models
by h2oai December 7, 2015 GLRM R

This tutorial introduces the Generalized Low Rank Model (GLRM) [1], a new machine learning approach for reconstructing missing values and identifying important features in heterogeneous data. It demonstrates how to build a GLRM in H2O that condenses categorical information into a numeric representation, which can then be used in other modeling frameworks such as deep […]

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