Machine Learning
A subset of AI where algorithms learn patterns from data to make predictions or decisions without explicit programming.
Also: ML
Definition
Machine learning (ML) is a branch of artificial intelligence that enables computer systems to learn from data and improve their performance on tasks without being explicitly programmed. ML algorithms identify patterns in training data and use those patterns to make predictions or decisions on new data. The main categories are supervised learning (learning from labeled data), unsupervised learning (finding patterns in unlabeled data), and reinforcement learning (learning through reward and punishment). ML powers applications from spam filters to self-driving cars.
Example
“A spam filter uses machine learning to analyze millions of labeled emails (spam or not spam) and learns to correctly classify new incoming messages with high accuracy.”
Synonyms
- ML
- statistical learning
- predictive modeling
- automated learning
Antonyms / Opposites
- rule-based systems
- hard-coded logic
- manual programming
Images
CC-licensed · free to useVideo
Related Terms
- deep-learning
- neural-network
- training-data
- supervised-learning
