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We are all aware of the fact that every machine or organism is made of smaller parts that perform
                 specific types of tasks. Similarly, the AI system is also built from different smaller mechanisms that
                 help the AI work properly. These working mechanisms are the different components with which the
                 AI system can work. They are commonly called domains of AI. In this chapter, we are going to learn
                 about the different domains of AI.
                 Barr and Feigenbaum in 1981 defined AI as "the part of computer science concerned with designing
                 intelligent  computer  systems,  that  is,  systems  that  exhibit  characteristics  we  associate  with
                 intelligence in human behaviour—understanding language, learning, reasoning, solving problems,
                 and so on.”

                 Domains of AI

                 There are different approaches or domains in the field of artificial intelligence. There are various
                 methods  through  which  we  can  develop  artificially  intelligent  systems.  Let  us  learn  about  these
                 domains.












                           Natural Language
                                                             Data Science
                              Processing                                                        Computer Vision

                 Natural Language Processing (NLP)

                 This  is  a  subfield  of  AI  that  helps  in  communication  between  human  and  computer  in  natural
                 language. It enables a computer to read and understand data by processing and understanding
                 human language.
                 This subfield of AI is used for a variety of tasks such as email filters. A lot of people receive a lot
                 emails that are useless. NLP checks the sender of the email and categorises the mails as spam or
                 junk. NLP also finds its use in the auto complete and spell check features of word processors. NLP is
                 also quite useful in voice text messaging and virtual assistants.

























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