A bewildering range of alternative methods are now readily available for building classification and prediction algorithms. Researchers used to promote methods which came from their own professional backgrounds: for example statisticians preferred regression models, while computer scientists preferred rule-based logic or ‘neural networks’ which were alternative ways to try and mimic human cognition. Implementation of any of these methods required specialized skills and software, but now convenient programs allow a menu-driven choice of technique, and so encourage a less partisan approach where
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Statistical regressive model vs computer science neural network
