Supervised Machine Learning
Optimization Framework and Applications with SAS and R
(Author) Tanya Kolosova
Format:
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
Publisher:
Taylor & Francis Ltd
Format:
Paperback
Number of pages:
None
Language:
en
ISBN:
9780367538828
Publish year:
2022
Publish date:
April 29, 2022