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    Machine learning foundations· book· 2001

    The Elements of Statistical Learning

    Trevor Hastie (first author) · 2001

    Read the original

    DOI 10.1007/978-0-387-21606-5OpenAlex W1480376833

    On the reading lists

    Why it matters

    Canonical textbook unifying statistical learning methods, theory, regularization, trees, kernels, and ensembles.

    Condensed from the expert lists' notes.

    The record

    First released
    2001 (from Crossref)
    Citations
    23,846 citations, as counted by OpenAlex (CC0)
    Named by
    both expert lists
    Versions merged
    The Elements of Statistical Learning: Data Mining, Inference, and Prediction (editor)

    Editor's notes

    • Merged “The Elements of Statistical Learning: Data Mining, Inference, and Prediction” into this entry: The same book, listed once with and once without its subtitle. (AI draft (Claude), not yet reviewed, 2026-10-29)
    • Classed as book: Hastie, Tibshirani and Friedman's textbook. (AI draft (Claude), not yet reviewed, 2026-10-29)

    Data sources

    Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0). Each count names its source. See the method.