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  1. 1361
    Python for R users : a data science approach /

    Python for R users : a data science approach / by Ohri, A. (Ajay)

    Published 2018
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  2. 1362
    Writing great R code /

    Writing great R code /

    Published 2015
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  3. 1363
    Data science in the cloud with Microsoft Azure machine learning and R : 2015 update /

    Data science in the cloud with Microsoft Azure machine learning and R : 2015 update / by Elston, Stephen F.

    Published 2015
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  4. 1364
    Multivariate time series analysis and applications /

    Multivariate time series analysis and applications / by Wei, William W. S.

    Published 2019
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  5. 1365
    Shen du xue xi shi zhan shou ce : R yu yan ban = R deep learning cookbook /

    Shen du xue xi shi zhan shou ce : R yu yan ban = R deep learning cookbook /
    深度学习实战手册 : R 语言版 = R deep learning cookbook /
    by Prakash, PKS, Dr, Rao, Achyutuni Sri Krishna

    Published 2020
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  6. 1366
    R : unleash machine learning techniques : find out how to build smarter machine learning systems with R : follow this three module course to become a more fluent machine learning practitioner : a course in three modules.

    R : unleash machine learning techniques : find out how to build smarter machine learning systems with R : follow this three module course to become a more fluent machine learning p... by Bali, Raghav, Sarkar, Dipanjan, Lantz, Brett, Lesmeister, Cory

    Published 2016
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  7. 1367
    Doing Bayesian Data Analysis : a Tutorial Introduction with R and BUGS.

    Doing Bayesian Data Analysis : a Tutorial Introduction with R and BUGS. by Kruschke, John

    Published 2010
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  8. 1368
    Nonparametric statistical methods using R /

    Nonparametric statistical methods using R / by Kloke, John, McKean, Joseph W., 1944-

    Published 2015
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  9. 1369
    Understanding SQL and R : learn how to do data analysis and visualization with SQL and R / with Casimir Saternos.

    Understanding SQL and R : learn how to do data analysis and visualization with SQL and R / with Casimir Saternos.

    Published 2016
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  10. 1370
    Shi jian xu lie fen xi shi zhan : ji yu ji qi xue xi he tong ji xue = Practical time series analysis /

    Shi jian xu lie fen xi shi zhan : ji yu ji qi xue xi he tong ji xue = Practical time series analysis /
    时间序列分析实战 : 基于机器学习和统计学 = Practical time series analysis /
    by Nielsen, Aileen

    Published 2022
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  11. 1371
    What Is Causal Inference? /

    What Is Causal Inference? / by Bowne-Anderson, Hugo, Loukides, Mike

    Published 2022
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  12. 1372
    Advanced deep learning with R : become an expert at designing, building, and improving advanced neural network models using R /

    Advanced deep learning with R : become an expert at designing, building, and improving advanced neural network models using R / by Rai, Bharatendra K.

    Published 2019
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  13. 1373
    Deep learning with R /

    Deep learning with R / by Chollet, François, Kalinowski, Tomasz, Allaire, J. J., 1969-

    Published 2022
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  14. 1374
    Data science, analytics and machine learning with R /

    Data science, analytics and machine learning with R / by Fávero, Luiz Paulo, Belfiore, Patrícia Prado, De Freitas Souza, Rafael

    Published 2023
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  15. 1375
    Uncertainty quantification using R /

    Uncertainty quantification using R / by Cursi, Eduardo Souza de

    Published 2023
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  16. 1376
    Pro data visualization using R and JavaScript : analyze and visualize key data on the web /

    Pro data visualization using R and JavaScript : analyze and visualize key data on the web / by Barker, Tom, 1977-, Westfall, Jon

    Published 2022
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  17. 1377
    CRAN recipes : DPLYR, Stringr, Lubridate, and RegEx in R /

    CRAN recipes : DPLYR, Stringr, Lubridate, and RegEx in R / by Yarberry, William

    Published 2021
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  18. 1378
    Practical Data Science with R, Second Edition /

    Practical Data Science with R, Second Edition / by Mount, John, Zumel, Nina

    Published 2019
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  19. 1379
    Adaptive tests of significance using permutations of residuals with R and SAS

    Adaptive tests of significance using permutations of residuals with R and SAS by O'Gorman, Thomas W.

    Published 2012
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  20. 1380
    Learn about label propagation in R with data from Zachary's karate club (1977) /

    Learn about label propagation in R with data from Zachary's karate club (1977) / by Shi, Feng, active 2019

    Published 2019
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