Three ways of learning

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Machines learn three ways. Supervised — "with a teacher": examples with answers (photo → "cat/dog"). Unsupervised — "without a teacher": the system groups similar things itself (customers by interests). Reinforcement — "by experience": an agent tries actions and gets rewards — that is how AlphaGo beat the Go world champion.

●Supervised: speech recognition, image diagnosis
●Unsupervised: recommendations, clusters, anomalies
●Reinforcement: games, robots, traffic control

🎯 Data beats algorithm: bad data → bad AI. Collecting and labeling data is its own profession.

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