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Gradient descent is a powerful numerical optimization technique that is used in many fields such as ML and AI, to minimize the output of an unknown function by finding optimal parameter values.
Compute next point, Xn + 1, using the negative of this gradient.
Iterate steps 2 & 3 until some threshold reached.
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Gradient descent is a powerful numerical optimization technique that is used in many fields such as ML and AI, to minimize the output of an unknown function by finding optimal parameter values.