Glossary Topic

Machine Learning Glossary

A practical glossary collection covering model training, optimisation, and evaluation terms used across applied AI.

Machine Learning

A field of AI where systems learn patterns from data to make predictions or generate content.

Supervised Learning

A machine learning method in which models are trained using labelled data.

Reinforcement Learning

A machine learning method in which an agent learns decision-making through rewards and penalties.

Gradient Descent

An optimisation algorithm that iteratively updates model parameters to reduce prediction error.

Backpropagation

A learning process used in neural networks to adjust internal weights after comparing predictions with expected results.

Fine-Tuning

The adaptation of a pre-trained model for a specific task through additional training on focused data.