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  • Linear Model Theory : Exercises and Solutions - Dale L. Zimmerman
    Linear Model Theory
    Exercises and Solutions
    Dale L. Zimmerman
    Paperback
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    The Fundamentals of Heavy Tails
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    Dacheng Tao and Fengxiang He
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    Reflections on the Foundations of Probability and Statistics
    Essays in Honor of Teddy Seidenfeld
    Fabio Gagliardi Cozman, Thomas Augustin and Gregory Wheeler
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    Educational Data Analytics for Teachers and School Leaders
    Advances in Analytics for Learning and Teaching
    Demetrios Sampson, Zacharoula Papamitsiou, Sofia Mougiakou, Michail Giannakos and Dirk Ifenthaler
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    Data Science and Analytics for SMEs
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    SQL Server Analytical Toolkit
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  • Control and System Theory of Discrete-Time Stochastic Systems : Communications and Control Engineering - Jan H. van Schuppen
    Control and System Theory of Discrete-Time Stochastic Systems
    Communications and Control Engineering
    Jan H. van Schuppen
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  • Advances in Machine Learning/Deep Learning-based Technologies : Selected Papers in Honour of Professor Nikolaos G. Bourbakis - Vol. 2 - George A. Tsihrintzis
    Advances in Machine Learning/Deep Learning-based Technologies
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    Deep Learning and Practice with MindSpore
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    Machine Learning
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    Optimisation in Synchromodal Logistics
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    Bootstrap Methods
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    Undecidability, Uncomputability, and Unpredictability
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    Smart Log Data Analytics
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    Probabilistic Risk Analysis and Bayesian Decision Theory
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    Time Series Analysis for the State-Space Model with R/Stan
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    Modern Deep Learning for Tabular Data
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    Machine Learning Algorithms
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    Network Models for Data Science
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    Essential Tools for Water Resources Analysis, Planning, and Management
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    Data Spaces
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    Fundamentals of Statistical Inference
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    Mathematical Tools for Neuroscience
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    Richard A. Clement
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    $157.75
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    Parameter Estimation in Stochastic Volatility Models
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    xxAI - Beyond Explainable AI
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    Trends in Mathematical, Information and Data Sciences
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    Computational Finance with R
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    Rituparna Sen and Sourish Das
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    Industry 4.0
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    Environmental Informatics
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    Reliability Assessment of Safety and Production Systems
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    Mixture and Hidden Markov Models with R
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    Thinking Data Science
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    Quantitative Psychology
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    Artificial Intelligence for Materials Science
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    Advances in Longitudinal Data Methods in Applied Economic Research
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    Random Walk and Diffusion Models
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    Statistical Foundations of Actuarial Learning and its Applications
    Springer Actuarial
    Mario V. Wuthrich and Michael Merz
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    Modern Cryptography
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    Statistical Foundations of Actuarial Learning and its Applications
    Springer Actuarial
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    Elementary Methods of Graph Ramsey Theory
    Applied Mathematical Sciences
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    Applied Multivariate Statistics with R
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    Handbook of Biometric Anti-Spoofing
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    Data Science in Context
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    Dicing with Death
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    Theory of Games and Economic Behavior
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    Metaheuristics in Machine Learning
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    An Introduction to Statistical Learning
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