Supervised learning is a type of machine learning algorithm that uses a known dataset (labeled data) to predict outcomes. It is a form of learning where an algorithm is given a set of data points that are labeled with the correct answers and the algorithm must use the labeled data to predict the correct answer for new data points. For example, a supervised learning algorithm could be used to classify images of cats and dogs based on labeled data points.

Unsupervised learning is a type of machine learning algorithm that does not use labeled data. It is a form of learning where an algorithm is given a set of data points and must find patterns and relationships in the data without any prior knowledge. For example, an unsupervised learning algorithm could be used to cluster customers based on their purchasing habits.

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