Machine Learning (ML)
TL;DR
Computers learn from data instead of being manually programmed.
What does this mean?
Machine learning is a subset of AI where algorithms independently learn from data. Instead of defining rules manually, the system recognizes patterns and improves over time.
How it works
An ML model is trained on large datasets. It finds statistical relationships and can apply them to new, unseen data.
Example
Spam filters that learn which emails are unwanted, or product recommendations in online stores.
Why it matters
ML is the foundation of almost every modern AI application — from speech recognition to fraud detection.
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