Core ML Concepts · beginner · concept 12 of 176
Data · The Fuel of AI
AI is only as good as its data. Understanding data quality, bias, preprocessing, augmentation, and the data lifecycle is fundamental. 'More data beats better algorithms', but only if the data is good. Ground-truth labeling (annotation workflows, human-in-the-loop review, active learning) and class imbalance, fixed by resampling like SMOTE or by class weights, are the two practical crafts here.
Key terms
Data qualityData augmentationData pipelineLabel noiseData driftData labeling & ground truthClass imbalance & SMOTEActive learning
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