Artificial Intelligence requires complex programming ability and processing power. Languages such as Python, R, Lisp, Prolog, and Java provide programmers with immense amounts of libraries and functionalities to help in the achievement of Artificial Intelligence. Programming an AI system begins with the preprocessing of data. A large amount of data is required in the field of AI to help the machines learn and implement their results actively. Second, a familiar subset of the data is used by the algorithms to train on. Later, after the process of training, the machine is then exposed to new data that is not seen or worked on before. This is done to verify if the algorithms have been successful in training the machine. Post verification, the result is used to derive analytics or in any other field of requirement. Constant tweaking is done to improve accuracy and efficiency as well.
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