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- Дата: 4-09-2020, 12:43
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Автор: Tanya Kolosova, Samuel Berestizhevsky
Издательство: Chapman and Hall/CRC
Год: 2021
Формат: PDF, EPUB
Страниц: 176
Размер: 10 Mb
Язык: English
AI framework intended to solve a problem of bias-variance tradeoff for supervised learning methods in real-life applications. The AI framework comprises of bootstrapping to create multiple training and testing data sets with various characteristics, design and analysis of statistical experiments to identify optimal feature subsets and optimal hyper-parameters for ML methods, data contamination to test for the robustness of the classifiers.