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What is the idea of Gradient Descent Algorithm?
to find a line that minimizes the sum of differences between actual dataset points and the line points using it’s gradient
to find a line that minimizes the sum of differences between actual value and the predicted value using it’s gradient
to look for the minimum of the sum of squared residues by moving in the direction of decreasing gradient
to look for the maximum of the sum of squared residues by moving in the direction of decreasing gradient
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