Multiple Regression
A statistical technique that uses several explanatory variables to predict the outcome of a response variable, extending simple linear regression to include multiple input variables.
A statistical technique that uses several explanatory variables to predict the outcome of a response variable, extending simple linear regression to include multiple input variables.
A method in natural language processing where multiple prompts are linked to generate more complex and contextually accurate responses.
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.
A detailed description of a system's behavior as it responds to a request from one of its stakeholders, often used to capture functional requirements.
The study of how individuals make choices among alternatives and the principles that guide these choices.
A framework for understanding what drives individuals to act, involving theories such as Maslow's hierarchy of needs.
An interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data.
A statistical method that models the relationship between a dependent variable and one or more independent variables by fitting a linear equation to observed data.
A cognitive bias where individuals overestimate the likelihood of extreme events regressing to the mean.