Cost-sensitive Machine Learning - Taylor & Francis Ltd
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Cost-sensitive Machine Learning - Taylor & Francis Ltd
In Machine Learning Applications, Practitioners Must Take Into Account The Cost Associated With The Algorithm. These Costs Include: Cost Of Acquiring Training Data Cost Of Data Annotationlabeling And Cleaning Computational Cost For Model Fitting, Validation, And Testing Cost Of Collecting Featuresattributes For Test Data Cost Of User Feedback Collection Cost Of Incorrect Predictionclassification Cost-sensitive Machine Learning Is One Of The First Books To Provide An Overview Of The Current Research Efforts And Problems In This Area. It Discusses Real-world Applications That Incorporate The Cost Of Learning Into The Modeling Process.
- 品牌: Unbranded
- 类别: 计算机与互联网
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语言: English
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作者: Taylor & Francis Ltd
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出版日期: 2019-09-19
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页数: 332
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出版社／标签: Taylor & Francis Ltd
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格式: Paperback
- Fruugo ID: 469569566-983523150
- ISBN: 9780367381912
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