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  • Machine Learning - Zhi-Hua, PhD Zhou
    Machine Learning
    Zhi-Hua, PhD Zhou and Shaowu Liu
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    Paula J. Massengill and William P. Fisher Jr.
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    Proceedings of International Conference on Scientific and Natural Computing
    Proceedings of SNC 2021
    Amit K. Awasthi, Kusum Deep, Ivan Zelinka and Dipti Singh
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    Advances and Innovations in Statistics and Data Science
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    Chunfang Devon Lin, Wenqing He, Liqun Wang and Jiahua Chen
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  • Doing Social Research and Publishing Results : A Guide to Non-native English Speakers - Candauda Arachchige Saliya
    Doing Social Research and Publishing Results
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    Anthony Donoghue
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    Mieko Tanaka-Yamawaki and Yumihiko Ikura
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  • Classification and Data Science in the Digital Age : Studies in Classification, Data Analysis, and Knowledge Organization - Angela Montanari
    Classification and Data Science in the Digital Age
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  • Discrete Choice Experiments Using R : A How-To Guide for Social and Managerial Sciences - Liang Shang
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  • Analyticity and Sparsity in Uncertainty Quantification for PDEs with Gaussian Random Field Inputs : Lecture Notes in Mathematics - Christoph Schwab
    Analyticity and Sparsity in Uncertainty Quantification for PDEs with Gaussian Random Field Inputs
    Lecture Notes in Mathematics
    Christoph Schwab, Van Kien Nguyen, Jakob Zech and Dinh Dung
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    Statistical Hypothesis Testing with Microsoft ® Office Excel ®
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  • Quantitative Psychology : The 86th Annual Meeting of the Psychometric Society, Virtual, 2021 - Marie Wiberg
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    Marie Wiberg, Dylan Molenaar and Jorge González
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    The Mahalanobis Growth Model
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    Magnetic Resonance Brain Imaging
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    Advanced Computing, Machine Learning, Robotics and Internet Technologies
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    Communication and Applied Technologies
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    Sign Language Machine Translation
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    Notes on Tug-of-War Games and the p-Laplace Equation
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    An Introduction to Materials Informatics
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    Generalized Additive Models for Location, Scale and Shape
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    Regression Inside Out
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  • Artificial Intelligence: Towards Sustainable Intelligence : First International Conference, AI4S 2023, Pune, India, September 4-5, 2023, Proceedings - Edlira Vakaj
    Artificial Intelligence: Towards Sustainable Intelligence
    First International Conference, AI4S 2023, Pune...
    Edlira Vakaj, Sashikala Mishra, Sanju Tiwari, Ketan Kotecha and Fernando Ortiz-Rodriguez
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  • Neural Information Processing : 30th International Conference, ICONIP 2023, Changsha, China, November 20-23, 2023, Proceedings, Part II - Biao Luo
    Neural Information Processing
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    Biao Luo, Zheng-Guang Wu, Long Cheng, Hongyi Li and Chaojie Li
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    Neural Networks with Model Compression
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    Baochang Zhang, Tiancheng Wang and Sheng Xu
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    Statistical Modelling and Risk Analysis
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    Christos P. Kitsos, Teresa A. Oliveira, Marialuisa Restaino and Francesca Pierri
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    Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications
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    Theory and Applications of Time Series Analysis
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    Olga Valenzuela, Fernando Rojas and Luis Javier Herrera
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    Analysis of Categorical Data from Historical Perspectives
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    Data Science
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    Matthias Plaue
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    Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems
    Studies in Computational Intelligence
    Diego Oliva, Mohamed Abd Elaziz, Laith Abualigah and Essam Halim Houssein
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  • Probability-Based Multi-objective Optimization for Material Selection - Haipeng Teng
    Probability-Based Multi-objective Optimization for Material Selection
    Haipeng Teng, Ying Cui, Yi Wang, Maosheng Zheng and Jie Yu
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    Data Analytics for Management, Banking and Finance
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  • Handbook of Machine Learning Applications for Genomics : Studies in Big Data - Sanjiban Sekhar Roy
    Handbook of Machine Learning Applications for Genomics
    Studies in Big Data
    Sanjiban Sekhar Roy and Y.-H. Taguchi
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    $359.00
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  • The Art of Reinforcement Learning : Fundamentals, Mathematics, and Implementations with Python - Michael Hu
    The Art of Reinforcement Learning
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    Michael Hu
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    RRP $99.00
    $97.99
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  • Time Series Econometrics : Learning Through Replication - John D. Levendis
    Time Series Econometrics
    Learning Through Replication
    John D. Levendis
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    Pro Power BI Theme Creation
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    Adam Aspin
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    MLOps Lifecycle Toolkit
    A Software Engineering Roadmap for Designing, D...
    Dayne Sorvisto
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    $84.75
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  • Advanced Bioscience and Biosystems for Detection and Management of Diabetes : Springer on Bio- and Neurosystems - Kishor Kumar Sadasivuni
    Advanced Bioscience and Biosystems for Detection and Management of Diabetes
    Springer on Bio- and Neurosystems
    Kishor Kumar Sadasivuni, John-John Cabibihan and Abdulaziz Khalid A M Al-Ali
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  • Learn Data Mining Through Excel : A Step-by-Step Approach for Understanding Machine Learning Methods - Hong Zhou
    Learn Data Mining Through Excel
    A Step-by-Step Approach for Understanding Machi...
    Hong Zhou
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  • ChatGPT for Beginners : Features, Foundations, and Applications - Eric Sarrion
    ChatGPT for Beginners
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    Eric Sarrion
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  • Numerical Approximations of Stochastic Maxwell Equations : via Structure-Preserving Algorithms - Chuchu Chen
    Numerical Approximations of Stochastic Maxwell Equations
    via Structure-Preserving Algorithms
    Chuchu Chen, Lihai Ji and Jialin Hong
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    $99.00
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  • Innovative Decision-Making Techniques : A FOCCUSSED Approach - Omar Periu
    Innovative Decision-Making Techniques
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    Omar Periu and Terry Bresnick
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    Modern Statistics
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    Peter Gedeck, Shelemyahu Zacks and Ron S. Kenett
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  • Optimization, Simulation and Control : ICOSC 2022, Ulaanbaatar, Mongolia, June 20â
    Optimization, Simulation and Control
    ICOSC 2022, Ulaanbaatar, Mongolia, June 20â"22
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    Computational and Strategic Business Modelling
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    Sustainable Statistical and Data Science Methods and Practices
    Reports from LISA 2020 Global Network, Ghana, 2022
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    Weak Convergence and Empirical Processes
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    Sedentary Behaviour Epidemiology
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    Model Risk Management
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    Modeling Correlated Outcomes Using Extensions of Generalized Estimating Equations and Linear Mixed Modeling
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