ML
Machine Learning
ML – Machine Learning is the field of artificial intelligence that allows computers to make predictions or decisions regarding data without a specific programme instructing them how to do it. ML allows the computer to learn, using statistical methods to train algorithms to improve their output based on sample data. ML is used for extracting features and patterns from data and can therefore be used in the automated analysis of NDT signals and data.
For more information on machine learning in non-destructive testing systems see:
‘Qualification of non-destructive testing systems that make use of machine learning’, Issue 1, European Network for Inspection and Qualification (ENIQ) Report No 65, June 2021.
This document can be downloaded using the following link:
https://snetp.eu/wp-content/uploads/2021/06/ENIQ_RP13_Issue1.pdf
WHAT THE HEC?! articles are not intended to be the definitive account on the topic or acronym in question. Readers’ comments and contributions are welcomed. Email: ndtnews@bindt.org
For more information on machine learning in non-destructive testing systems see:
‘Qualification of non-destructive testing systems that make use of machine learning’, Issue 1, European Network for Inspection and Qualification (ENIQ) Report No 65, June 2021.
This document can be downloaded using the following link:
https://snetp.eu/wp-content/uploads/2021/06/ENIQ_RP13_Issue1.pdf
WHAT THE HEC?! articles are not intended to be the definitive account on the topic or acronym in question. Readers’ comments and contributions are welcomed. Email: ndtnews@bindt.org
