AI Algorithms and Models: Interactive Guide
Clear explanations and interactive demonstrations of the algorithms, models and methods used in artificial intelligence and machine learning.
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Prediction and classification
Methods that learn from labeled examples to predict a number or assign a case to a group.
Patterns, anomalies and recommendations
Methods that find structure in data without a fixed answer: groups, unusual cases, items that go together and recommendations.
Language and text models
Methods that represent words, read text in context, and generate or transform language.
Computer vision
Methods that find, outline, read and match what is in an image.
Audio and speech
Methods that turn speech into text and learn from raw audio.
Image and content generation
Models that create new text or images, change an image's style, and the risks that come with generated media.
Search and retrieval
Methods that score and rank documents for a query, and systems that look up sources before they answer.
Reinforcement learning, agents and planning
Methods that learn from rewards, search ahead before acting, plan routes and work through tasks step by step.
Neural networks and deep learning
The building blocks behind most modern models: layered networks, memory for sequences and networks for connected data.
Forecasting and optimization
Methods that predict values over time, estimate how long until an event, and find the best plan within limits.