Research Project Figures Out How to Crowdsource Predictive Models
An MIT research project has come up with a way to crowdsource development of features for use in machine learning. Groups of data scientists contribute their ideas for this “feature engineering” into a collaboration tool named “FeatureHub.” The idea, according to lead researcher Micah Smith, is to enable contributors to spend a few hours reviewing a modeling problem and proposing various features. Then the software builds the models with those features and determines which ones are the most useful for a particular predictive task.
