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Natural Language
                                    Processing                     Data                  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 categorises the mails as spam or junk. NLP
                 also finds its use in the autocomplete and spell-check feature of word processors. NLP also proves to
                 be quite useful in voice-to-text messaging and virtual assistants.




                                                                           The human eye is estimated at
                                                                            576 megapixels with complex
                                                                            processing, while AI machine
                                                                           vision cameras can reach up to
                                                                                   100 megapixels




                        DATA


                 Data refers to facts and figures that 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.
                 The quality of data is essential for AI applications. For effective AI performance, data must be accurate,
                 relevant, and free from errors. The accuracy of AI outcomes is heavily dependent on the quality of the

                 data provided. Thus, data can be considered the lifeblood of AI: an AI system relies on the data it
                 receives to learn and make predictions. Providing incorrect or low-quality data will lead to inaccurate
                 or unreliable results.
                 These data can be numeric (temperature, loan amount, etc.), categorical (gender, colour, etc.), or

                 even free text (like doctor’s notes, prescriptions, opinion surveys, etc.)


                                                              Tech Fact
                     The term 'Big Data' denotes extremely large or voluminous data sets that can be analyzed
                                   computationally to reveal patterns, trends, and associations.





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