9 citations · 9 across the 1 of their papers we have counts for
4 papers
The Machine Learning Bazaar: Harnessing the ML Ecosystem for Effective System Development
Micah J. Smith, Carles Sala, James Max Kanter +1
As machine learning is applied more widely, data scientists often struggle to find or create end-to-end machine learning systems for specific tasks. The proliferation of libraries…
Prediction Factory: automated development and collaborative evaluation of predictive models
Gaurav Sheni, Benjamin Schreck, Roy Wedge +2
In this paper, we present a data science automation system called Prediction Factory. The system uses several key automation algorithms to enable data scientists to rapidly develop…
Machine learning 2.0 : Engineering Data Driven AI Products
James Max Kanter, Benjamin Schreck, Kalyan Veeramachaneni
ML 2.0: In this paper, we propose a paradigm shift from the current practice of creating machine learning models - which requires months-long discovery, exploration and "feasibilit…
Solving the "false positives" problem in fraud prediction
Roy Wedge, James Max Kanter, Santiago Moral Rubio +2
In this paper, we present an automated feature engineering based approach to dramatically reduce false positives in fraud prediction. False positives plague the fraud prediction in…