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Mathematical analysis for machine learning and data mining [electronic resource]
- 作者： Simovici, Dan A.
- 出版： Singapore : World Scientific
- 版本：1st ed.
- 主題： 0Machine learning--Mathematics. , Data mining--Mathematics. , Electronic books.
- ISBN： 9789813229693 (electronic bk.)
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FIND@SFXID:
CGU
- 資料類型: 電子書
- 內容註: Includes bibliographical references (p. 949-955) and index.
- 摘要註: "This compendium provides a self-contained introduction to mathematical analysis in the field of machine learning and data mining. The mathematical analysis component of the typical mathematical curriculum for computer science students omits these very important ideas and techniques which are indispensable for approaching specialized area of machine learning centered around optimization such as support vector machines, neural networks, various types of regression, feature selection, and clustering. The book is of special interest to researchers and graduate students who will benefit from these application areas discussed in the book."--Publisher's website.
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讀者標籤：
- 系統號： 005453446 | 機讀編目格式
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