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Artificial Intelligence (AI) : the discipline trying to reproduce intelligence, a set of solutions to solve problems, as software. Arguably often the state of the art in algorithms at large but also a philosophical view. Machine Learning (ML) : the sub-discipline of AI focusing on transforming a large a mount of data to a model, basically curve fitting Soft Computing : the sub-discipline of AI focusing on heuristics, imperfect solutions to complex problems, arguably including ANN Natural Language Processing (NLP) : the sub-discipline of AI focusing on handling human language directly, ideally without limiting it to a subset of language Neural Networks (ANN) : the sub-discipline of AI, arguably part of ML, focusing on training a set of units to match an input dataset, inspired by some principles used in biological brains

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Difference between AI, SC, ML

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Artificial Intelligence (AI) : the discipline trying to reproduce intelligence, a

set of solutions to solve problems, as software. Arguably often the state of the

art in algorithms at large but also a philosophical view.

Machine Learning (ML) : the sub-discipline of AI focusing on transforming a

large a mount of data to a model, basically curve fitting

Soft Computing : the sub-discipline of AI focusing on heuristics, imperfect

solutions to complex problems, arguably including ANN

Natural Language Processing (NLP) : the sub-discipline of AI focusing on

handling human language directly, ideally without limiting it to a subset of

language

Neural Networks (ANN) : the sub-discipline of AI, arguably part of ML,

focusing on training a set of units to match an input dataset, inspired by

some principles used in biological brains