Data-Driven Design
An approach to design that relies on data and analytics to inform decisions and measure success.
An approach to design that relies on data and analytics to inform decisions and measure success.
Information Visualization (InfoVis) is the study and practice of visual representations of abstract data to reinforce human cognition.
Also known as the 68-95-99.7 Rule, it states that for a normal distribution, nearly all data will fall within three standard deviations of the mean.
The perception of a relationship between two variables when no such relationship exists.
A cognitive bias where people see patterns in random data.
A method of splitting a dataset into two subsets: one for training a model and another for testing its performance.
A type of artificial intelligence that enables systems to learn from data and improve over time without being explicitly programmed.
The ability to identify and interpret patterns in data, often used in machine learning and cognitive psychology.
The process of making predictions about future trends based on current and historical data.