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Machine Learning (ML)
Computers learn from data instead of being programmed manually.
Explanation
Machine learning is a branch of AI in which algorithms learn independently from data. Instead of manually defining rules, the system recognizes patterns and improves over time.
How it works
An ML model is trained with large amounts of data. It finds statistical relationships and can apply them to new, unknown data.
Example
Spam filters that learn which emails are unwanted, or product recommendations in online shops.
Why it matters
ML is the foundation for almost every modern AI application – from speech recognition to fraud detection.