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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.
38 Touchpad Artificial Intelligence (Ver. 2.0)-VII

