👉 In the context of computing, particularly in the realm of machine learning and data analysis, variables are fundamental units that store data values. These values can represent a wide array of information, such as numerical data (like temperatures or ages), categorical data (such as gender or colors), or textual information. Variables can be classified into different types, including discrete (taking on distinct values) and continuous (able to take any value within a range). Each variable in a computational model or dataset can be manipulated, transformed, and used in various operations to derive insights or predictions. Understanding the variables involved is crucial for defining the problem, selecting appropriate algorithms, and interpreting results effectively in computational tasks.
