Data Science
An interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data.
An interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data.
A statistical measure that quantifies the amount of variation or dispersion of a set of data values.
The tendency for people's perception to be affected by their recurring thoughts at the time.
The systematic computational analysis of data or statistics to understand and improve business performance.
The process of dividing a broad consumer or business market into sub-groups of consumers based on shared characteristics, needs, or behaviors.
The tendency to attribute intentional actions to others' behaviors, often overestimating their intent.
A tree-like model of decisions and their possible consequences, used in data mining and machine learning for both classification and regression tasks.
The study of social relationships, structures, and processes.
A type of data visualization that uses dots to represent values for two different numeric variables, plotted along two axes.