The Data Science Machine

The Data Science Machine is an end-to-end software system that is able to automatically develop predictive models from relational data. The Machine was created by Max Kanter and Kalyan Verramachaneni at the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT. The system automates two of the most human-intensive components of a data science endeavor: feature engineering, and selection and tuning of the machine learning methods that build predictive models from those features. First, an algorithm called Deep Feature Synthesis automatically engineers features. Next, through an approach called Deep Mining, the Machine composes a generalized machine learning pipeline that includes dimensionality reduction methods, feature selection methods, clustering, and classifier design. Finally, it tunes the parameters through a Gaussian Copula Process.