Most machine learning problems boil down to fitting a set of observations(points) to some mathematical curve (simplistically referred to as the “model” in machine learning parlance). That yields a compressed representation that can be used for applications including prediction and pattern recognition. The process of fitting typically involves minimising what is called the cost function…

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