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.
The tendency to perceive a greater quantity as a better value, regardless of the actual utility.
A phenomenon where people perceive an item as more valuable when it is free, leading to an increased likelihood of choosing the free item over a discounted one.
A cognitive bias where people overemphasize information that is placed prominently or in a way that catches their attention first.
The tendency to avoid information that one perceives as potentially negative or anxiety-inducing.
The study of complex systems and how interactions within these systems give rise to collective behaviors.
The process of understanding user behaviors, needs, and motivations through various qualitative and quantitative methods.
A tendency to avoid making decisions that might lead to regret, influencing risk-taking and decision-making behaviors.
A cognitive bias where the pain of losing is psychologically more powerful than the pleasure of gaining.