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 use of statistical techniques and algorithms to analyze historical data and make predictions about future outcomes.
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 form of regression analysis where the relationship between the independent variable and the dependent variable is modeled as an nth degree polynomial.
A statistical method used to predict a binary outcome based on prior observations, modeling the probability of an event as a function of independent 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.
The process of making predictions about future trends based on current and historical data.
A graphical representation of the distribution of numerical data, typically showing the frequency of data points in successive intervals.
An experimental design where different groups of participants are exposed to different conditions, allowing for comparison between groups.