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You are mixing up lots of things here. Specifically, you seem to be lacking a basic understanding of artificial neural networks and what they can do (e.g. what type of articifial neural networks are linear classifiers/regressors and which can model non-linear relationships). Therefore, I'd take a step back and start with understanding the basics of AI. The ...


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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 and you can get started. The AI technique or any prediction algorithm in general will learn a function that maps from the input feature vector $(x_1, ...,x_n)$, ...


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