書誌事項
- タイトル
- "Statistical learning and data science"
- 責任表示
- edited by Mireille Gettler Summa ... [et al.]
- 出版者
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- CRC Press
- 出版年月
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- c2012
- 書籍サイズ
- 27 cm
- シリーズ名/番号
-
- : hardback
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注記
Summary: "Data analysis is changing fast. Driven by a vast range of application domains and affordable tools, machine learning has become mainstream. Unsupervised data analysis, including cluster analysis, factor analysis, and low dimensionality mapping methods continually being updated, have reached new heights of achievement in the incredibly rich data world that we inhabit.Statistical Learning and Data Science is a work of reference in the rapidly evolving context of converging methodologies. It gathers contributions from some of the foundational thinkers in the different fields of data analysis to the major theoretical results in the domain. On the methodological front, the volume includes conformal prediction and frameworks for assessing confidence in outputs, together with attendant risk. It illustrates a wide range of applications, including semantics, credit risk, energy production, genomics, and ecology ... "--Back cover
Includes bibliographical references (p. 205-223) and index
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詳細情報 詳細情報について
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- CRID
- 1130282272012951808
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- NII書誌ID
- BB08886415
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- ISBN
- 9781439867631
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- LCCN
- 2011036558
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- Web Site
- https://lccn.loc.gov/2011036558
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- 本文言語コード
- en
-
- 出版国コード
- us
-
- タイトル言語コード
- en
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- 出版地
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- Boca Raton
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- データソース種別
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- CiNii Books