Statistical learning and data science

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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
  • CRC Press
出版年月
  • 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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