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  1. 1
    Python for Probability, Statistics, and Machine Learning

    Python for Probability, Statistics, and Machine Learning by Unpingco, José

    Published 2016
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  2. 2
    Python for Probability, Statistics, and Machine Learning

    Python for Probability, Statistics, and Machine Learning by Unpingco, José

    Published 2019
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  3. 3
    Problem-Based Learning: A Didactic Strategy in the Teaching of System Simulation

    Problem-Based Learning: A Didactic Strategy in the Teaching of System Simulation by Cevallos-Torres, Lorenzo, Botto-Tobar, Miguel

    Published 2019
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  4. 4
    Machine Learning in Sports Identifying Potential Archers /

    Machine Learning in Sports Identifying Potential Archers / by Muazu Musa, Rabiu, Taha, Zahari, P.P.Abdul Majeed, Anwar, Abdullah, Mohamad Razali

    Published 2019
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  5. 5
    An Introduction to Machine Learning

    An Introduction to Machine Learning by Rebala, Gopinath, Ravi, Ajay, Churiwala, Sanjay

    Published 2019
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  6. 6
    Machine Learning Paradigms Applications of Learning and Analytics in Intelligent Systems /

    Machine Learning Paradigms Applications of Learning and Analytics in Intelligent Systems /

    Published 2019
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  7. 7
    Challenges in Computational Statistics and Data Mining

    Challenges in Computational Statistics and Data Mining

    Published 2016
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  8. 8
    Introduction to Engineering Statistics and Lean Six Sigma Statistical Quality Control and Design of Experiments and Systems /

    Introduction to Engineering Statistics and Lean Six Sigma Statistical Quality Control and Design of Experiments and Systems / by Allen, Theodore T.

    Published 2019
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  9. 9
    Empirical Approach to Machine Learning

    Empirical Approach to Machine Learning by Angelov, Plamen P., Gu, Xiaowei

    Published 2019
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  10. 10
    Source Modeling Techniques for Quality Enhancement in Statistical Parametric Speech Synthesis

    Source Modeling Techniques for Quality Enhancement in Statistical Parametric Speech Synthesis by Rao, K. Sreenivasa, Narendra, N. P.

    Published 2019
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  11. 11
    Smart Education and e-Learning 2019

    Smart Education and e-Learning 2019

    Published 2019
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  12. 12
    Advances in Machine Learning and Data Science Recent Achievements and Research Directives /

    Advances in Machine Learning and Data Science Recent Achievements and Research Directives /

    Published 2018
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  13. 13
    Quantitative Methods for the Social Sciences A Practical Introduction with Examples in SPSS and Stata /

    Quantitative Methods for the Social Sciences A Practical Introduction with Examples in SPSS and Stata / by Stockemer, Daniel

    Published 2019
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  14. 14
    Machine Learning in VLSI Computer-Aided Design

    Machine Learning in VLSI Computer-Aided Design

    Published 2019
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  15. 15
    Deep Learning and Missing Data in Engineering Systems

    Deep Learning and Missing Data in Engineering Systems by Leke, Collins Achepsah, Marwala, Tshilidzi

    Published 2019
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  16. 16
    Modelling and Control of Dynamic Systems Using Gaussian Process Models

    Modelling and Control of Dynamic Systems Using Gaussian Process Models by Kocijan, Juš

    Published 2016
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  17. 17
    Machine Learning Methods for Behaviour Analysis and Anomaly Detection in Video

    Machine Learning Methods for Behaviour Analysis and Anomaly Detection in Video by Isupova, Olga

    Published 2018
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  18. 18
    Soft Methods for Data Science

    Soft Methods for Data Science

    Published 2017
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  19. 19
    Dynamic Modeling of Complex Industrial Processes: Data-driven Methods and Application Research

    Dynamic Modeling of Complex Industrial Processes: Data-driven Methods and Application Research by Shang, Chao

    Published 2018
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  20. 20
    Recent Advances in Natural Computing Selected Results from the IWNC 8 Symposium /

    Recent Advances in Natural Computing Selected Results from the IWNC 8 Symposium /

    Published 2016
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