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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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