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Data Statistics

              Data and data statistics are crucial elements in the realm of data analysis,
              providing the foundation for extracting  meaningful insights  and making
              informed decisions. Under this domain, the type of input data can be numeric
              (0–9), text (A–Z or a–z), or special symbols (#, @, $, etc.). The collection,
              analysis, interpretation,  presentation,  and  organisation of  data  are  called
              data statistics.

              More the data, the better will be the analysis and the more accurate would
              be the prediction. Thus, AI requires large amounts of data to find the latest
              trends and patterns. For example, I plan to organise a social gathering in an
              open-air setup in the month of August in Delhi. I will have to look for a weather forecast for the same and also
              look at the previous years' trends. So, data collection is the base for analyses and pattern recognition models. From
              those patterns, predictive models can be made.
              So, the data is the most important part of an AI machine. After the data is collected from different sources, the AI
              machine analyses the data and then processes it.


                                                                             #Experiential Learning

                                    GAME         01             Rock Paper and Scissors































                   Visit: https://next.rockpaperscissors.ai/ or scan the QR code to play the game.
                   The challenge here is to win 20 games against AI before AI wins them against you. Answer
                   the following questions after playing the game:

                   1.  Did you manage to win?







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