A process of training neural networks by adjusting weights to reduce error.

Graphical models that represent probabilistic relationships among variables.

Comparing AI models against standard datasets to evaluate performance.

Skewed outputs caused by flaws in training data or model design.

A concept balancing model accuracy and generalisation.

Large datasets used to train and improve AI models.