By Asgard Technologies · Published March 6, 2024
Understanding the relationship between AI, Machine Learning, and Deep Learning is essential for anyone working with modern technology.
The Hierarchy
Artificial Intelligence (AI) - The broadest concept: machines that can perform tasks that typically require human intelligence.
Machine Learning (ML) - A subset of AI where systems learn from data without being explicitly programmed.
Deep Learning (DL) - A subset of ML using neural networks with many layers to model complex patterns.
Key Differences
AI encompasses all intelligent systems. ML focuses on learning from data. Deep Learning uses multi-layered neural networks inspired by the human brain.
Each layer builds on the previous, with Deep Learning being the most sophisticated approach for handling complex, unstructured data like images, speech, and text.
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