Cost-Sensitive Machine Learning (1)
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- Synopsis
- In machine learning applications, practitioners must take into account the cost associated with the algorithm. These costs include: Cost of acquiring training dataCost of data annotation/labeling and cleaningComputational cost for model fitting, validation, and testingCost of collecting features/attributes for test dataCost of user feedback collect
- Copyright:
- 2012
Book Details
- Book Quality:
- Publisher Quality
- Book Size:
- 331 Pages
- ISBN-13:
- 9781040221624
- Related ISBNs:
- 9781439839287, 9781439839256, 9780367381912, 9780429106507
- Publisher:
- CRC Press
- Date of Addition:
- 02/01/25
- Copyrighted By:
- Taylor & Francis Group, LLC
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet, Mathematics and Statistics
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- null Balaji Krishnapuram
- Edited by:
- null Shipeng Yu
- Edited by:
- null R. Bharat Rao
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- by Balaji Krishnapuram
- by Shipeng Yu
- by Bharat Rao
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- in Computers and Internet
- in Mathematics and Statistics