Artificial Intelligence and Machine Learning Augments Human Intelligence

Descriptive statistics   While raw data is a valuable resource, it is not often directly usable due to several reasons. It may lack cohesion and can be cluttered making it challenging to work with or understand. It may be human, machine, or instrumental errors, depending on the collection method. It may be poorly structured and hard to visualize. Often it may contain too much of data, which cannot be sensibly analyzed. Descriptive statistics refers to the analysis of descriptive statistic or summary statistic. It helps to handle problems associated with raw data in several ways: it can simplify data to make it represent and understand, it can summarize and organize characteristics of a data set, which helps in presenting the data in a more meaningful manner. Descriptive statistics identifies central tendencies, variability, frequency distribution. Descriptive summary statistics  quantitatively describe or summarize features from a collection of  information so that the details