E whakaatuhia ana ngā hua e 1 - 20 o te 31 mō te rapu 'An introduction to statistical learning' Whakamahine hua
  1. 1
    ā- James, Gareth (Gareth Michael)
    I whakaputaina 2021
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    Tāhiko īPukapuka
    Tiakina ki te rārangi
    I tiakina ki:
    An introduction to statistical learning : with applications in R /
  2. 2
    I whakaputaina 2013
    Pukapuka
    Tiakina ki te rārangi
    I tiakina ki:
    An introduction to statistical learning : with applications in R /
  3. 3
    I whakaputaina 2007
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    Tāhiko īPukapuka
    Tiakina ki te rārangi
    I tiakina ki:
    Introduction to statistical relational learning
  4. 4
    ā- Hastie, Trevor
    I whakaputaina 2001
    Pukapuka
    Tiakina ki te rārangi
    I tiakina ki:
    The elements of statistical learning : data mining, inference, and prediction : with 200 full-color illustrations /
  5. 5
    ā- Greene, Judith
    I whakaputaina 2006
    Pukapuka
    Tiakina ki te rārangi
    I tiakina ki:
    Learning to use statistical tests in psychology /
  6. 6
    ā- Martinez, Wendy L.
    I whakaputaina 2008
    “...Introduction --...”
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    Pukapuka
    Tiakina ki te rārangi
    I tiakina ki:
    Computational statistics handbook with MATLAB /
  7. 7
    ā- Salkind, Neil J.
    I whakaputaina 2007
    “...Statistics or sadistics? : it's up to you --...”
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    Pukapuka
    Tiakina ki te rārangi
    I tiakina ki:
    Statistics for people who (think they) hate statistics /
  8. 8
    ā- Bishop, Christopher M.
    I whakaputaina 2006
    Pukapuka
    Tiakina ki te rārangi
    I tiakina ki:
    Pattern recognition and machine learning /
  9. 9
    ā- Spall, James C.
    I whakaputaina 2003
    Pukapuka
    Tiakina ki te rārangi
    I tiakina ki:
    Introduction to stochastic search and optimization : estimation, simulation, and control /
  10. 10
    I whakaputaina 2003
    Pukapuka
    Tiakina ki te rārangi
    I tiakina ki:
    A handbook for teaching & learning in higher education /
  11. 11
    ā- Rubinstein, Reuven Y.
    I whakaputaina 2004
    Pukapuka
    Tiakina ki te rārangi
    I tiakina ki:
    The cross-entropy method : a unified approach to combinatorial optimization, Monte-Carlo simulation, and machine learning /
  12. 12
    I whakaputaina 2009
    Pukapuka
    Tiakina ki te rārangi
    I tiakina ki:
    A handbook for teaching and learning in higher education : enhancing academic practice /
  13. 13
    ā- Parida, Laxmi
    I whakaputaina 2008
    “...Introduction --...”
    Pukapuka
    Tiakina ki te rārangi
    I tiakina ki:
    Pattern discovery in bioinformatics : theory & algorithms /
  14. 14
    I whakaputaina 2007
    Pukapuka
    Tiakina ki te rārangi
    I tiakina ki:
    Data mining : a knowledge discovery approach /
  15. 15
    I whakaputaina 2008
    Pukapuka
    Tiakina ki te rārangi
    I tiakina ki:
    Essential skills for science & technology /
  16. 16
    ā- Bow, Sing-Tze, 1924-
    I whakaputaina 2002
    “...Series Introduction /...”
    Pukapuka
    Tiakina ki te rārangi
    I tiakina ki:
    Pattern recognition and image preprocessing /
  17. 17
    ā- McVeigh, Brian J.
    I whakaputaina 2002
    “...Introduction: The Potemkin Factor --...”
    Pukapuka
    Tiakina ki te rārangi
    I tiakina ki:
    Japanese higher education as myth /
  18. 18
    ā- Camerer, Colin, 1959-
    I whakaputaina 2003
    “...Introduction --...”
    Pukapuka
    Tiakina ki te rārangi
    I tiakina ki:
    Behavioral game theory : experiments in strategic interaction /
  19. 19
    ā- Ewing, Ky P., 1935-
    I whakaputaina 2003
    Pukapuka
    Tiakina ki te rārangi
    I tiakina ki:
    Competition rules for the 21st century : principles from America's experience /
  20. 20
    I whakaputaina 2005
    “...Introduction --...”
    Pukapuka
    Tiakina ki te rārangi
    I tiakina ki:
    Handbook of normative data for neuropsychological assessment /

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