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Cognitive Project Management in AI · PMI
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Why C is Correct Getting end users to label data is generally not a good approach, especially for supervised learning. Why? Because users: ❌ Are not trained data labelers. ❌ May label data inconsistently. ❌ May not understand the labeling guidelines. ❌ May not be interested in spending time labeling. ❌ Can introduce significant labeling errors and bias. For supervised learning, labels are the ground truth. Poor-quality labels lead to poor-quality models. Garbage In → Garbage Out (GIGO) Therefore, relying on ordinary users for large-scale, high-quality labeling is generally not beneficial.