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1.4 AI vs Machine Learning vs Deep Learning

These three terms are nested, like circles inside circles. AI is the broadest idea: any machine that behaves intelligently. Machine Learning (ML) is a subset of AI where systems learn from data. Deep Learning (DL) is a subset of ML that uses multi-layered neural networks. So every deep learning system is ML and AI, but not every AI system uses learning.

Deep learning uses neural networks with many connected layers to learn complex patterns.

Imagine a transport app for Addis Ababa. A simple rule ('add 20% fare in the rain') is plain AI logic. Predicting demand from past trip data is machine learning. Reading photos of road signs to guide self-driving is deep learning.

Scenario

A teammate says 'all AI is deep learning.' Is that accurate?

Check your understanding

1/4 · 40 XP

Which statement shows the correct nesting?