Is bigger always better? A controversial journey to the center of machine learning design, with uses and misuses of big data for predicting water meter failures
Abstract In this paper, we describe the design of a machine learning-based classifier, tailored to predict whether a water meter will fail or need a replacement.Our initial attempt to train a recurrent deep neural network (RNN), based on the use of 15 million of readings gathered from 1 million of mechanical water meters, spread throughout Northern