AlgorithmA set of rules to be followed in calculations or problem-solving operations
Definitions:
A process or set of rules to be followed in calculations or other problem-solving operations, especially by a computer.
RegressionA statistical measure used in finance, investing, and other disciplines to determine the strength of the relationship between one dependent variable and a series of other variables.
Definitions:
A predictive modeling technique which investigates the relationship between a dependent (target) and independent variable (predictor).
SupervisedA type of machine learning where an algorithm learns from example data and associated target responses
Definitions:
Supervised learning is the machine learning task of learning a function that maps an input to an output based on example input-output pairs.
ClassificationThe process of predicting the class of given data points
Definitions:
Classification predictive modeling is the task of approximating a mapping function from input variables to discrete output variables.
ClusterA group of similar things or people positioned or occurring closely together
Definitions:
In machine learning, clustering algorithms are a type of unsupervised learning algorithms used for grouping data points, or objects that are somehow similar.