Supervised machine learning problems are further divided into classification (predicting non-numeric answers, such as the probability of a missed mortgage payment) and regression (predicting ...

To a large extent, supervised ML is for domains where automated machine learning does not perform well enough. Scientists add supervision to bring the performance up to an acceptable level.

U. Jo and S. B. Kim, “Semi-Supervised Learning with Wafer-Specific Augmentations for Wafer Defect Classification,” in IEEE Access, doi: 10.1109/ACCESS.2024.3522180. Tags: data augmentation defect ...