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Statistical learning and data scienceMireille Gettler Summa

Statistical learning and data science

2011243 pages
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5 editions
Nonfiction

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"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…

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Editions

5 editions
  • Other · English · 2019
    Taylor & Francis Group · 243 pages · 9780367381899
  • Other · English · 2012
    CRC Press · 227 pages · 9781439867631
  • Other · English · 2011
    Taylor & Francis Group · 9781439867648
  • Other · English · 2011
    Taylor & Francis Group · 9781040059692
  • Other · English · 2011
    Taylor & Francis Group · 243 pages · 9780429107689
Statistical methodsCOMPUTERS / Machine TheoryBUSINESS & ECONOMICS / StatisticsData miningMachine learningMathematical statisticsApprentissage automatiqueMéthodes statistiques