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Statistical Data


                 When machines have to process a large amount
                 of numerical data, Statistical Data enables them
                 to  understand,  analyse,  and  give  output  in  the
                 form of meaningful information.

                 You can understand it in this way: when you need
                 to  know  the  average  age  of  a  town,  the  data
                 would  consist  of  huge  numbers,  but  numerical
                 calculation would be easy. However, if you want to

                 see how the average life expectancy of the people
                 in  the  town  changes  over  time,  statistical  data
                 processing would help you to predict the average age of healthy individuals. Let’s understand
                 it with some more examples.
                    •  If  you  show  an  AI  application  many  pictures  of  camels  and  giraffes,  it  uses  statistics  to
                     determine what makes a camel look different from a giraffe.

                    •  Based on history, AI can predict potential future outcomes. Like, YouTube recommends video
                     based on your previous viewing preferences.
                    •  Statistical methods help AI identify its mistakes and learn how to fix them. This helps the

                     model to improve over time.

                 Why is Statistical Data Important?

                 Statistical  data  is  essential  in  any  AI  system,  as  it  helps  uncover  hidden  and  unexpected
                 insights. Its visual representation makes the data easier to understand, while data analysis
                 supports  informed  decision-making.  The  following  points  highlight  the  importance  of
                 statistical data in AI:
                    •  AI uses statistics to analyse data, extract patterns, and make predictions.

                    •  Statistical techniques help forecast outcomes using past data.

                    •  Statistics quantifies uncertainty, aiding accurate decisions.
                    •  Different metrics like precision, recall, and F1-score assess model performance.
                    •  It helps AI understand cause-effect relationships for better predictions.

                    •  It identifies trends, outliers, and meaningful patterns in data.

                    •  It uses statistical methods to learn, reason, and predict.


                         Real-Life Application of Statistical Data


                 Statistical data is all around us and helps in making smart decisions every day. Let’s learn some
                 real-life applications of Statistical Data.



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