Abstract Machine Learning bears great potential for data‐driven solutions in the field of nondestructive testing (NDT) concrete structures. The analysis data collected with NDT methods, such as ultrasonics, impact‐echo and ground penetrating radar, can be complex requires experience. expected benefit applications this context goes beyond increase efficiency obtained by automating process. While...