Machine Learning
A subset of AI where systems learn and improve from experience without being explicitly programmed.
Detailed Explanation
Machine learning enables computers to learn patterns from data and make predictions or decisions without explicit programming. It uses statistical techniques to give computer systems the ability to learn and adapt. ML algorithms build mathematical models based on sample data (training data) to make predictions or decisions without being specifically programmed for each task.
Examples
- Spam filters
- Recommendation systems
- Image recognition
Common Use Cases
Predictive analytics
Pattern recognition
Automation
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