Supervised Machine Learning: Optimization Framework and Applications with SAS and R - Tanya Kolosova - Books - Taylor & Francis Ltd - 9780367538828 - April 29, 2022
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Supervised Machine Learning: Optimization Framework and Applications with SAS and R

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AI framework intended to solve a problem of bias-variance tradeoff for supervised learning methods in real-life applications. It comprises of bootstrapping to create multiple training and testing data sets, design and analysis of statistical experiments and optimal hyper-parameters for ML methods.


182 pages

Media Books     Paperback Book   (Book with soft cover and glued back)
Released April 29, 2022
ISBN13 9780367538828
Publishers Taylor & Francis Ltd
Pages 182
Dimensions 235 × 157 × 14 mm   ·   300 g
Language English  

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