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AI Glossary

Algorithm

A set of rules or instructions given to an AI system to help it learn and make decisions.

Training Data

The dataset used to teach machine learning models by showing examples of inputs and expected outputs.

Supervised Learning

A type of machine learning where models learn from labeled data with known outcomes.

Unsupervised Learning

Machine learning approach where algorithms identify patterns in data without pre-existing labels.

Overfitting

When a model learns the training data too well and fails to generalize to new, unseen data.

Feature Engineering

The process of selecting and transforming variables to improve machine learning model performance.