Power Real Polynomial to approximate functions: The Gradient Method

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In the real world rarely a problem can be solved using just a single algorithm, more often a solution is a chain of algorithms where the output of the former is the input for the follower.

But you know that quite often machine learning algorithms return functions almost always extremely complex, and they don’t fit directly in the next step of your strategy.
In these conditions, it is really helpful the trick of the function approximation, that is, we reduce the complexity…


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