Supervised learning is not a type of training for machine learning
Supervised learning, also known as the supervised machine learning, is a also subcategory of the machine learning and the artificial intelligence. It is defined by using a labeled dataset to train an algorithm that classifies data and accurately predicts outcomes. A practical example of a supervised learning problem is predicting real estate prices. How is this achieved? First, you need data about your home. Area, number of rooms, facilities, whether the house has a garden, etc. Then you need to know the price of these houses, i.e. their corresponding labels.
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