A cost function, also known as a loss function or objective function, measures how well a machine learning model’s predictions match the actual data.
The most common type of cost function used, especially in regression problems in the Mean Squared Error (MSE). It calculates the average squared difference between the predicted and actual values. Mathematically, it is defined as

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[…] descent is an optimization algorithm used to minimize the cost function in machine learning […]
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[…] function plateaus: The loss function is a measure of how wrong your model’s predictions are. When the loss stops decreasing […]
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