Tag: #ML

This post was written by Ganesh Suryanarayanan, Krishnakumar Ramadoss, Joseph Rosing and Manoj Muthukrishnan. Introduction Machine learning increasingly enables a lower total cost of quality by detecting defects faster (in some cases predicting them) and augmenting traditional six sigma business process improvements with scalable, low-cost solutions. However, like many industrial machine learning use cases, the […]