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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Application of Statistical Computing to Statistical Learning

Application of Statistical Computing to Statistical Learning

Chukwura Obi, Jude

Paperback

General Mathematics

ISBN10: 3659400467
ISBN13: 9783659400469
Publisher: LAP Lambert Academic Publishing
Published: Oct 28 2024
Pages: 220
Weight: 0.72
Height: 0.50 Width: 6.00 Depth: 9.00
Language: English
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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