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Learn about Machine Learning — Simply Explained
Machine learning is a branch of AI where computers learn from data instead of following explicit rules. By analyzing thousands or millions of examples, ML algorithms find patterns and make predictions — from recommending Netflix shows to detecting cancer in medical scans.
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Try it in RelatableFrequently Asked Questions
How does a machine 'learn'?+
A machine learns by adjusting its internal parameters to minimize errors on training data — similar to how you improve at a sport by practicing and correcting mistakes repeatedly.
What is training data?+
Training data is the collection of examples a model learns from. For an image classifier, this might be millions of labeled photos. The quality and diversity of training data directly affects how well the model performs.
What is the difference between AI and machine learning?+
AI is the broad goal of creating intelligent machines. Machine learning is one approach to achieving AI — specifically, the approach of learning from data rather than being manually programmed with rules.
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