Artificial Intelligence (AI)

Machines designed to perform tasks that typically require human intelligence.

Machine Learning (ML)

AI systems that improve automatically through experience without explicit programming.

Deep Learning

ML using neural networks with many layers to learn from large amounts of data.

Neural Network

Computing system inspired by biological brains that recognizes patterns.

Supervised Learning

Training with labeled data (input-output pairs).

Example: Image classification

Unsupervised Learning

Finding patterns in data without labels.

Example: Customer segmentation

Reinforcement Learning

Learning through trial-and-error with rewards.

Example: Game-playing AI

Natural Language Processing (NLP)

AI that understands, interprets, and generates human language.

Computer Vision

AI that interprets visual information from the world.

Generative AI

AI that creates new content (text, images, etc.).