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Supervised learning involves providing the correct answer for each example of data. This article focuses on the use of regression and classification techniques in supervised learning, particularly linear regression. It explains the concept of linear regression, terms commonly used, the hypothesis function, cost function, and the gradient descent algorithm for minimizing the cost function.
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