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Unsupervised learning can find patterns in data once it’s fed enough to learn from them. These are helpful when people know there are patterns in the data, but they don’t know what to look for. Reinforcement learning takes data from interactions with an environment. It then predicts what action to take next that will provide a reward and reduce risks.