Active Learning
Active learning is a machine learning training approach in which the model (or an associated selection algorithm) actively selects which unlabeled examples should be labeled next — typically the most informative or uncertain ones — rather than labeling data randomly or exhaustively, in order to reach strong…
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Glossary Terms(5)
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…
Meta-Learning
Meta-learning, often described as 'learning to learn,' is a machine learning paradigm in which a model is trained across a distribution of many different tasks…
Continual Learning
Continual learning (also called lifelong learning) is the study and practice of training a model on a sequence of tasks or data distributions over time such th…