Batch learning
Batch learning is a machine learning paradigm where the model is trained on a fixed dataset in a single iteration. It contrasts with online learning, where models are updated continuously.
data processing
In-processing bias mitigation
In-processing bias mitigation refers to methods employed during data processing to reduce bias in machine learning and AI systems.