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In statistics, nonlinear regression is a form of regression analysis in which observational data are modeled by a function which is a nonlinear combination of the model parameters and depends on one or more independent variables. The data are fitted by a method of successive approximations. It is used in place when the data shows a curvy trend, and linear regression would not produce very accurate results when compared to non-linear regression.

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Which AI technique is best suited to discovering non-linear relationships in data?

For example, from among house size, lot size, age of house and asking price, what formula best predicts selling price? There is no general formula for this. Search for neural network regression a …
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