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Chapter Profile


                                                           Artificial Intelligence




                                   Data                Natural Language Processing           Computer Vision

                  NATURAL LANGUAGE PROCESSING (NLP)

                  This  is  a  subfield  of  AI  which  helps  in
                  communication  between  human  and
                  computer using natural language.
                  It  enables  a  computer  to  read  and
                  understand data by mimicking human
                  natural language.

                  This subfield of AI is used for a variety of
                  tasks such as email filters. Many people
                  receive a lot emails which are useless.
                  NLP checks the sender of the email and
           Artificial Intelligence  check feature of word processors. NLP also proves to be quite useful in voice-to-text messaging
                  categorises the mails as spam or junk. NLP also finds its use in the auto-complete and spell-


                  and virtual assistants.

                  DATA

                  Data are the facts and figures which are processed to find meaningful results. Data plays a
                  pivotal role in the field of AI. Data collection is the process of collecting and sourcing information

                  from numerous sources. ‘Big Data’ is the term used to represent huge or voluminous data.
                  Quality of data plays an important role when it comes to AI applications. The data should be

                  error free and contain relevant information for the given task. The accuracy of results depends
                  on the quality of the data. Thus, we can say that data is the lifeblood of AI because an AI system
                  needs to learn from the data that is provided to it. If we provide incorrect data to the system,

                                                               we will never get correct results.
                                                               Big Data

                                                               AI’s ability to work so well with data analytics is
                                                               because  of  its  use  of  Big  data.  Without  making
                                                               its  presence  known,  Big  data  has  already  been
                                                               everywhere.  Big  data  has  become  a  valuable
                                                               commodity. It can be defined as massive amount
                                                               of stored data which when analysed properly could
                                                               reveal valuable insights into industry to which the
                                                               data belongs.



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