Practical Machine Learning from Dr. Michael Stonebraker

New Whitepaper

Machine Learning for Data Unification

Machine learning (ML) is currently a much-discussed topic, but in many instances the enthusiasm for the subject exceeds its practical implementations. In this complimentary whitepaper Turing Award Winner Dr. Michael Stonebraker outlines research started at MIT CSAIL (the Computer Science & Artificial Intelligence Laboratory) and other institutions in 2012, aimed at applying ML to the challenge of unifying data at scale to address what he believes is a pervasive problem for large enterprises.

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Tamr's patented software system combines machine learning with human expertise to automate the unification of data silos dispersed across large companies to deliver previously impossible analytic breakthroughs.

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