by Frederic Lardinois, TechCrunch
LinkedIn today announced that it is open-sourcing an internal tool called FeatureFu. The FeatureFu toolkit is meant to make it easier for developers to build their machine learning models around statistical modeling and decision engines. The idea here is to take LinkedIn’s knowledge around “feature engineering” and make it accessible to developers outside of the company. In machine learning, feature engineering is basically using your detailed knowledge of the phenomenon you are looking at and then using that to build machine learning models. LinkedIn argues that most large-scale recommendation systems (think LinkedIn’s own tools for suggesting connections on its site) are managed by at least two teams: one that handles the offline modeling and one that takes care of the online feature-serving/model-scoring part of the system.
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