Application of Statistical Computing to Statistical Learning - Chukwura Obi, Jude
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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.

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Produktbeschreibung
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.
Autorenporträt
Dr. Jude Chukwura Obi is a trained statistician with expertise in statistical learning, especially supervised learning. He studied at the Nnamdi Azikiwe University in Nigeria and the University of Leeds in the UK. He currently works as an Associate Professor of Statistics, at Chukwuemeka Odumegwu Ojukwu University, in Anambra State, Nigeria.