Interpretable Automated Machine Learning in Maana(TM) Knowledge Platform

no code implementations • 6 May 2019 • Alexander Elkholy, Fangkai Yang, Steven Gustafson

Machine learning is becoming an essential part of developing solutions for many industrial applications, but the lack of interpretability hinders wide industry adoption to rapidly build, test, deploy and validate machine learning models, in the sense that the insight of developing machine learning solutions are not structurally encoded, justified and transferred.

BIG-bench Machine Learning Meta-Learning