Application of Statistical Computing to Learning
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The study here is about supervised learning, an aspect of statistical learning. We identified prediction as the mainstay of supervised learning, and further noted that when the outcome of prediction is a categorical variable, classification obtains, otherwise what we have is regression, meaning that the prediction outcome is a continuous variable.A distinguishing aspect of this work is our ability to show both mathematically with a proof, and practically with some real-world datasets, that regression tools can be used as veritable tools for classification.
Beschrijving
(2)
The study here is about supervised learning, an aspect of statistical learning. We identified prediction as the mainstay of supervised learning, and further noted that when the outcome of prediction is a categorical variable, classification obtains, otherwise what we have is regression, meaning that the prediction outcome is a continuous variable.A distinguishing aspect of this work is our ability to show both mathematically with a proof, and practically with some real-world datasets, that regression tools can be used as veritable tools for classification.
AmazonPages: 220, Paperback, LAP Lambert Academic Publishing
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