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Domains of AI

                 Artificial Intelligence (AI) includes different fields, each focusing on various aspects of mimicking human intelligence
                 and handling tasks that typically need human intellect. These fields are categorised based on the type of data they
                 process:






                                                                     Data
                                                                   Science




                                                              Domains

                                                                  of AI

                                                                                 Natural
                                                    Computer                    Language
                                                      Vision                   Processing







                 a.   Data Science: Data Science works with numerical, alphabetical, and alphanumeric data inputs. It involves collecting,
                   analysing, and interpreting large amounts of data to find insights and patterns using statistical methods, machine
                   learning algorithms, and data visualisation techniques. For example, data science can be used to analyse customer
                   behaviour in online shopping to improve sales strategies, or to predict stock market trends based on historical data.


                                                                                         #Digital Literacy
                             Video Session
                       Watch Data Science in 8 Minutes | Data Science for Beginners | What is Data Science?
                       Edureka -
                       https://www.youtube.com/watch?v=KdgQvgE3ji4&t=147s



                 b.   Natural  Language  Processing  (NLP): NLP focuses on processing text and speech inputs, so, computers can
                   understand, interpret, and generate human language. This includes tasks like language translation, sentiment analysis,
                   text summarisation, and speech recognition. Real-life examples include chatbots that provide customer support by
                   understanding and responding to queries, and translation apps like Google Translate, that convert text from one
                   language to another instantly, or voice assistants to perform daily tasks like turning on alarm, music, lights, etc.


                                                                                         #Digital Literacy
                             Video Session
                       Watch Natural Language Processing: Crash Course AI #7 -
                       https://www.youtube.com/watch?v=oi0JXuL19TA&t=437s






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