Dataset Bias
Dataset bias refers to systematic imbalances, gaps, or skewed representations within a training dataset that cause a machine learning model to learn and reproduce unfair, inaccurate, or unrepresentative patterns in its outputs.
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Glossary Terms(4)
Model Card
A model card is a structured, standardized document accompanying a machine learning model that discloses its intended use, training data, performance metrics,…
Dataset Bias
Dataset bias refers to systematic imbalances, gaps, or skewed representations within a training dataset that cause a machine learning model to learn and reprod…
Curriculum Learning
Curriculum learning is a training strategy in which a model is presented with training examples in a deliberately structured order — typically progressing from…
Active Learning
Active learning is a machine learning training approach in which the model (or an associated selection algorithm) actively selects which unlabeled examples sho…