= Parity learning
{wiki=Parity_learning}
Parity learning is a concept that typically refers to a type of learning or training strategy in machine learning and artificial intelligence, particularly in the context of learning from imbalanced or challenging datasets. The term can have specific meanings depending on the domain and context. In general, the idea behind parity learning involves ensuring that the model or system can recognize and properly weigh instances of different classes or categories, especially in scenarios where one class may be underrepresented.
Back to article page