Fundamentals
Glossary
Machine Learning
A branch of AI in which models learn patterns from data instead of being explicitly programmed with rules.
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Machine learning (ML) trains a model on examples so it can make predictions or decisions on new data. Instead of coding rules by hand, engineers choose an algorithm, feed it training data and let it adjust internal values until its output matches the desired result. Common approaches include supervised, unsupervised and reinforcement learning. ML powers spam filters, product recommendations, fraud detection and most of the AI tools people use today.
Related terms
Artificial Intelligence
The field of building computer systems that perform tasks normally requiring human intelligence, such as understanding l...
Deep Learning
Machine learning that uses multi-layered neural networks to learn complex patterns directly from raw data.
Supervised Learning
Training with labelled examples, where each input comes with the correct answer.
Training Data
The examples a model learns from, whose quality and coverage shape its behaviour.
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