Descriptive statistics is a branch of statistics that focuses on the collection, organisation, analysis and presentation of data. It is used to describe and summarise numerical and categorical data in a clear and concise manner.
Descriptive statistics can be used in artificial intelligence and machine learning to explore and understand a dataset before applying more advanced analysis techniques. Some of the most common descriptive statistics measures are mean, median, mode, standard deviation and range. These measures provide information about the distribution, centrality and variability of the data.
Descriptive statistics can also include the construction of graphs and charts to help visualise data effectively. Some of the most common graphs are histograms, box and whisker plots and scatter plots.
Unlike inferential statistics,which seeks to draw conclusions, descriptive statistics seeks only a simple description of the data.
Artificial intelligence is changing the world at breakneck speed and you're probably wondering when it will surpass artificial intelligence in the [...]
Read More »Today we are going to talk about the generation of qualified leads for the acquisition of new customers through AI. At Gamco, we develop software based on [...]
Read More »The term Business Intelligence (or BI) defines the use of information technologies to identify, discover, and analyze business data, such as business [...]
Read More »Since 2008, several countries have enacted legislation that recognizes the importance of integrating artificial intelligence (AI) into key areas of life [...]
Read More »