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  • with Applications in R
    Gareth James; Daniela Witten; Trevor Hastie; Robert Tibshirani
    978-1-4614-7138-7
    2013
    Edition 1
    • Provides tools for Statistical Learning that are essential for practitioners in science, industry and other fields
    • Analyses and methods are presented in R
    • Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, and clustering
    • Extensive use of color graphics assist reader
    • Includes supplementary material: sn.pub/extras

    €419

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