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Product Details 基本信息 ISBN-13 书号 9780367277321 Author 作者 Tanya Kolosova and Samuel Berestizhevsky Format 版本 精装 Pages Number 页数 176页 Publisher 出版社 Chapman and Hall/CRC Publication Date 出版日期 2020-09-22 Language 语种 英语 Book Contents 内容简介 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. Key Features:Using ML methods by itself doesn’t ensure building classifiers that generalize well for new data Identifying optimal feature subsets and hyper-parameters of ML methods can be resolved using design
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