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Explain the concept of a loss function in machine learning.
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Answer / Ram Awadh Vishwakarma
A loss function (also known as cost function or objective function) is a metric used to quantify the error between the predicted output and the true output during the training phase of a machine learning model. The goal is to minimize this loss to improve the accuracy of the model's predictions.
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