This video examines two of the main problems with machine learning, regression, and classification.
Regression is a combination of multidimensional fitting and function interpolation. With the regression problem, you are trying to find function approximation with the minimal error deviation or cost function.
Classification identifies group membership. That means that if you have multiple events characterized by input parameters which can be labeled differently, and you want your system to predict which label should be used – this is the classical classification problem.
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Machine Learning Introduction: Regression and Classification | Intel Software
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