Glossary · Artificial Intelligence

What is Machine Learning (ML)?

A way of building AI where the system learns rules from examples instead of being programmed with them.

In more detail

You provide data — often with correct answers — and an algorithm finds the patterns. Supervised, unsupervised and reinforcement learning are its three main styles.

Example

A model trained on past loan applications learns to estimate the risk of a new one.

Learn it properlyAI vs Machine Learning vs Deep Learning: What Is the Difference?9 min lesson · Artificial Intelligence

Related terms

Full glossary

AI AgentAn AI system that can plan steps and use tools — search, code, apps — to complete a task with less step-by-step instruction.Artificial Intelligence (AI)Software that learns patterns from data and uses them to make predictions, decisions or new content.Bias (in AI)Systematic unfairness in AI output, usually inherited from imbalanced or historical training data.Context WindowThe maximum amount of text a language model can consider at one time.Deep LearningMachine learning that uses neural networks with many layers, especially good for images, audio and language.Fine-TuningFurther training a pre-trained model on a smaller, specific dataset to adapt it to a task or style.