Supervised Machine Learning
Optimization Framework and Applications with SAS and R
(Autor) Tanya Kolosova
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Paperback
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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.
Information
Editorial:
Taylor & Francis Ltd
Formato:
Paperback
Número de páginas:
None
Idioma:
en
ISBN:
9780367538828
Año de publicación:
2022
Fecha publicación:
29 de Abril de 2022