An Introduction to Statistical Learning with Applications in Python

Book by James, Witten, Hastie, Tibshirani, Taylor (2023)
Book book_edition Q134702790
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An Introduction to Statistical Learning with Applications in Python

Summary

An Introduction to Statistical Learning with Applications in Python is a book edition[1].

Key Facts

  • An Introduction to Statistical Learning with Applications in Python authored Gareth James[2].
  • An Introduction to Statistical Learning with Applications in Python authored Daniela Witten[3].
  • An Introduction to Statistical Learning with Applications in Python authored Trevor Hastie[4].
  • An Introduction to Statistical Learning with Applications in Python authored Robert Tibshirani[5].
  • An Introduction to Statistical Learning with Applications in Python authored Jonathan E. Taylor[6].
  • An Introduction to Statistical Learning with Applications in Python's instance of is recorded as book edition[7].
  • An Introduction to Statistical Learning with Applications in Python's publisher is recorded as Springer Nature Switzerland AG[8].
  • An Introduction to Statistical Learning with Applications in Python's genre is recorded as reference work[9].
  • An Introduction to Statistical Learning with Applications in Python's part of the series is recorded as Springer Texts in Statistics[10].
  • An Introduction to Statistical Learning with Applications in Python's ISBN-13 is recorded as 978-3-031-38746-3[11].
  • An Introduction to Statistical Learning with Applications in Python's ISBN-13 is recorded as 978-3-031-39189-7[12].
  • An Introduction to Statistical Learning with Applications in Python's ISBN-13 is recorded as 978-3-031-38747-0[13].
  • An Introduction to Statistical Learning with Applications in Python's DOI is recorded as 10.1007/978-3-031-38747-0[14].
  • An Introduction to Statistical Learning with Applications in Python's language of work or name is recorded as English[15].
  • An Introduction to Statistical Learning with Applications in Python's publication date is recorded as +2023-06-30T00:00:00Z[16].
  • An Introduction to Statistical Learning with Applications in Python's edition or translation of is recorded as An Introduction to Statistical Learning[17].
  • An Introduction to Statistical Learning with Applications in Python's zbMATH Open document ID is recorded as 07724265[18].
  • An Introduction to Statistical Learning with Applications in Python's main subject is recorded as machine learning[19].
  • An Introduction to Statistical Learning with Applications in Python's number of pages is recorded as {'unit': '1', 'amount': '+607'}[20].
  • An Introduction to Statistical Learning with Applications in Python's title is recorded as An Introduction to Statistical Learning[21].
  • An Introduction to Statistical Learning with Applications in Python's subtitle is recorded as with Applications in Python[22].

Body

Authorship and Creation

Authored works include Gareth James[2], a mathematician[23], awarded the Fulbright Scholarship[24]; Daniela Witten[3], a biostatistician[25], b. 2000[26], of United States[27], awarded the Raymond J. Carroll Young Investigator Award[28], specialised in biostatistics[29]; Trevor Hastie[4], a statistician[30], b. 1953[31], of United States[32], awarded the Fellow of the Royal Statistical Society[33], specialised in statistics[34]; Robert Tibshirani[5], a statistician[35], b. 1956[36], of United States[37], awarded the Guggenheim Fellowship[38], specialised in statistics[39]; and Jonathan E. Taylor[6], a statistician[40], specialised in statistics[41]. An Introduction to Statistical Learning with Applications in Python's publisher is recorded as Springer Nature Switzerland AG[8].

Publication

An Introduction to Statistical Learning with Applications in Python's publication date is recorded as +2023-06-30T00:00:00Z[16]. Its language of work or name is recorded as English[15]. Its genre is recorded as reference work[9]. Its part of the series is recorded as Springer Texts in Statistics[10].

Subject and Themes

An Introduction to Statistical Learning with Applications in Python's main subject is recorded as machine learning[19]. Its part of the series is recorded as Springer Texts in Statistics[10].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [7] . wikidata.org.
  2. [2] . wikidata.org.
  3. [3] . wikidata.org.
  4. [4] . wikidata.org.
  5. [5] . wikidata.org.
  6. [6] . wikidata.org.
  7. [8] . wikidata.org.
  8. [9] . wikidata.org.
  9. [10] . wikidata.org.
  10. [11] . wikidata.org.
  11. [12] . wikidata.org.
  12. [13] . wikidata.org.
  13. [14] . wikidata.org.
  14. [15] . Open Library. Retrieved . wikidata.org.
  15. [16] . wikidata.org.
  16. [17] . wikidata.org.
  17. [18] . wikidata.org.
  18. [19] . wikidata.org.
  19. [20] . wikidata.org.
  20. [21] . wikidata.org.
  21. [22] . wikidata.org.

Inline context (facts about related entities)

  1. [23] . Wikidata. wikidata.org. → on this site
  2. [24] . Wikidata. wikidata.org. → on this site
  3. [25] . Wikidata. wikidata.org. → on this site
  4. [26] . Wikidata. wikidata.org. → on this site
  5. [27] . Wikidata. wikidata.org. → on this site
  6. [28] . Wikidata. wikidata.org. → on this site
  7. [29] . Wikidata. wikidata.org. → on this site
  8. [30] . Wikidata. wikidata.org. → on this site
  9. [31] . Wikidata. wikidata.org. → on this site
  10. [32] . Wikidata. wikidata.org. → on this site
  11. [33] . Wikidata. wikidata.org. → on this site
  12. [34] . Wikidata. wikidata.org. → on this site
  13. [35] . Wikidata. wikidata.org. → on this site
  14. [36] . Wikidata. wikidata.org. → on this site
  15. [37] . Wikidata. wikidata.org. → on this site
  16. [38] . Wikidata. wikidata.org. → on this site
  17. [39] . Wikidata. wikidata.org. → on this site
  18. [40] . Wikidata. wikidata.org. → on this site
  19. [41] . Wikidata. wikidata.org. → on this site

Class ancestry

  1. [1] . Wikidata. wikidata.org.

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