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Title: Ma Chine Learning Algorithms For Ultrasonic Meter Diagnostics
Author: Joel Smith
Source: 2016 Canadian School of Hydrocarbon Measurement
Year Published: 2016
Abstract: Machine learning algorithms (MLAs) are statistical models that make generalizations about training data in order to properly classify future, unknown data. MLAs can be super vised (given labelled training data), semi-super vised (given some labelled data and a lot of unlabelled data), or unsupervised (given only unlabelled data). There are a huge number of practical applications for these algorithms including Internet search engines, voice recognition, robot vision, stock market analysis, and cancer screening, among many others.

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