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  1. 1
    Tree-based methods for statistical learning in R /
    by Greenwell, Brandon M.
    Published 2022

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    Book
  2. 2
    Artefacts, archives, and documentation in the relational museum /

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    Book
  3. 3
    Consumer health informatics : enabling digital health for everyone /
    by Smith, Catherine Arnott
    Published 2020

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    Book
  4. 4
    Physics of data science and machine learning /
    by Rauf, Ijaz A., Rauf, Ijaz A.
    Published 2022

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  5. 5
    Displaying time series, spatial, and space-time data with R /

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  6. 6
    R for health data science /
    by Harrison, Ewen, Pius, Riinu
    Published 2020

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  7. 7
    Using R for Bayesian spatial and spatio-temporal health modeling /
    by Lawson, Andrew (Andrew B.)
    Published 2021

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    Book
  8. 8
    Higher education in India : a data compendium /

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    Book
  9. 9
    SAS programming for elementary statistics /
    by Goad, Carla L.
    Published 2021

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    Book
  10. 10
    Augmented and mixed reality for communities /
    Published 2021

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    Book
  11. 11
    Genomics data analysis : false discovery rates and empirical Bayes methods /
    by Bickel, David R., Bickel, David R.
    Published 2020

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  12. 12
    SAS PROGRAMMING : the one-day course
    by SPENCER, NEIL H
    Published 2017

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    Book
  13. 13
    R companion to elementary applied statistics /
    by Hay-Jahans, Christopher
    Published 2018

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    Book
  14. 14
    Blockchain in digital healthcare /
    Published 2022

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    Book
  15. 15
    Advanced engineering mathematics : a second course /
    by Duffy, Dean G., Duffy, Dean G.
    Published 2022

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    Book
  16. 16
    Big data /
    Published 2020

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    Book
  17. 17
    Behavior Analysis with Machine Learning Using R
    by Garcia Ceja, Enrique
    Published 2021

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    Book
  18. 18
    Chemical engineering computation with MATLAB /
    by Yeo, Yeong-Koo
    Published 2018

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  19. 19
    Handbook of automated scoring : theory into practice /
    Published 2020

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  20. 20
    Cloud computing in remote sensing /

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    Book
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