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  1. 1
    Analysis of distributional data /
    Published 2022
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  2. 2
    Bayesian Modelling of Spatio-Temporal Data with R.
    by Sahu, Sujit Kumar
    Published 2022
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  3. 3
    Security for software engineers /
    by Helfrich, James N.
    Published 2019
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  4. 4
    Cybersecurity : a practical engineering approach /
    by Santos, Henrique, 1960-
    Published 2022
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  5. 5
    Modeling Change and Uncertainty : Machine Learning and Other Techniques.
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  6. 6
    Security risk models for cyber insurance /
    Published 2020
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  7. 7
    Massive graph analytics /
    Published 2022
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  8. 8
    Design and analysis of experiments and observational studies using R /
    by Taback, Nathan
    Published 2022
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  9. 9
    Cybersecurity and High-Performance Computing Environments : Integrated Innovations, Practices, and Applications.
    Published 2022
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  10. 10
    Transformers for machine learning : a deep dive /
    by Kamath, Uday
    Published 2022
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  11. 11
    AI and society : tensions and opportunities /
    by El Morr, Christo, 1966-
    Published 2022
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  12. 12
    Generalized latent variable modeling : multilevel, longitudinal, and structural equation models /
    by Skrondal, Anders, Rabe-Hesketh, S.
    Published 2004
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  13. 13
    Bayesian approaches in oncology using R and OpenBUGS /
    by Bhattacharjee, Atanu
    Published 2020
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  14. 14
    Lectures on Quantum Mechanics.
    by Baym, Gordon
    Published 2018
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  15. 15
    Bayesian nonparametrics for causal inference and missing data /
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  16. 16
    Hierarchical modeling and analysis for spatial data /
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  17. 17
    Security and resilience of cyber physical systems /
    Published 2023
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  18. 18
    C programming : learn to code /
    by Jena, Sisir Kumar
    Published 2022
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  19. 19
    Machine learning : theory and practice /
    by Kalita, Jugal Kumar
    Published 2023
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  20. 20
    A Primer on Linear Models /
    by Monahan, John F.
    Published 2008
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