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  • Everything Is Predictable : How Bayesian Statistics Explain Our World - Tom Chivers
    Everything Is Predictable
    How Bayesian Statistics Explain Our World
    Tom Chivers
    Hardcover
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    Machine Learning Algorithms
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  • Stochastic Calculus via Regularizations : Bocconi & Springer - Francesco Russo
    Stochastic Calculus via Regularizations
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  • Functional Estimation for Density, Regression Models and Processes (Second Edition) : 2nd Edition - Odile Pons
    Functional Estimation for Density, Regression Models and Processes (Second Edition)
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  • Stochastic Transport in Upper Ocean Dynamics II : STUOD 2022 Workshop, London, UK, September 26-29 - Anna Radomska
    Stochastic Transport in Upper Ocean Dynamics II
    STUOD 2022 Workshop, London, UK, September 26-29
    Anna Radomska, Etienne Memin, Darryl Holm, Dan Crisan and Bertrand Chapron
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  • Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications : Selected Contributions from SimStat 2019 and Invited Papers - Arne Bathke
    Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications
    Selected Contributions from SimStat 2019 and In...
    Arne Bathke, Viatcheslav B. Melas and Jurgen Pilz
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  • Theory and Applications of Time Series Analysis : Selected Contributions from ITISE 2022 - Olga Valenzuela
    Theory and Applications of Time Series Analysis
    Selected Contributions from ITISE 2022
    Olga Valenzuela, Fernando Rojas and Luis Javier Herrera
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  • Analysis of Categorical Data from Historical Perspectives : Essays in Honour of Shizuhiko Nishisato - Eric J. Beh
    Analysis of Categorical Data from Historical Perspectives
    Essays in Honour of Shizuhiko Nishisato
    Eric J. Beh, Rosaria Lombardo and Jose G. Clavel
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    Data Science
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    Matthias Plaue
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  • Neotropical Mammals : Hierarchical Analysis of Occupancy and Abundance - Eduardo J. Naranjo
    Neotropical Mammals
    Hierarchical Analysis of Occupancy and Abundance
    Eduardo J. Naranjo, Salvador Mandujano and Gabriel P. Andrade Ponce
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  • Trustworthy Machine Learning for Healthcare : First International Workshop, TML4H 2023, Virtual Event, May 4, 2023, Proceedings - Hao Chen
    Trustworthy Machine Learning for Healthcare
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    Hao Chen and Luyang Luo
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  • Neural Networks with Model Compression : Computational Intelligence Methods and Applications - Baochang Zhang
    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 : Selected contributions from ICRA9, Perugia, Italy, May 25-27, 2022 - Christos P. Kitsos
    Statistical Modelling and Risk Analysis
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    Christos P. Kitsos, Teresa A. Oliveira, Marialuisa Restaino and Francesca Pierri
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  • An Introduction to Statistical Learning : with Applications in Python - Daniela Witten
    An Introduction to Statistical Learning
    with Applications in Python
    Daniela Witten, Trevor Hastie, Robert Tibshirani, Jonathan Taylor and Gareth James
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  • Statistics For Economists - Linus  Yamane
    Statistics For Economists
    Linus Yamane
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  • Federated Learning : A Comprehensive Overview of Methods and Applications - Heiko Ludwig
    Federated Learning
    A Comprehensive Overview of Methods and Applica...
    Heiko Ludwig and Nathalie Baracaldo
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    $229.00
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  • Computational Intelligence in Data Science : 6th IFIP TC 12 International Conference, ICCIDS 2023, Chennai, India, February 23-25, 2023, Revised Selected Papers - Beulah A
    Computational Intelligence in Data Science
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    Beulah A, Sujaudeen N, Shahul Hamead H and Sarath Chandran K R
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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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    Handbook of Statistical Analysis
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  • Use and Misuse of the United States Census : The Role of Data in the Incarceration of Japanese Americans During World War II - Margo Anderson
    Use and Misuse of the United States Census
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    Probability
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    Molecular Storms
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    Liam Graham
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  • Statistical Hypothesis Testing with Microsoft ® Office Excel ® : Synthesis Lectures on Mathematics & Statistics - Robert Hirsch
    Statistical Hypothesis Testing with Microsoft ® Office Excel ®
    Synthesis Lectures on Mathematics & Statistics
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  • Quantitative Psychology : The 86th Annual Meeting of the Psychometric Society, Virtual, 2021 - Marie Wiberg
    Quantitative Psychology
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    Marie Wiberg, Dylan Molenaar and Jorge González
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  • The Mahalanobis Growth Model : A Macrodynamics Approach - Chetan Ghate
    The Mahalanobis Growth Model
    A Macrodynamics Approach
    Chetan Ghate, Srishti Grover and Pawan Gopalakrishnan
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    Artificial Intelligence for Cybersecurity
    Advances in Information Security
    Mark Stamp, Corrado Aaron Visaggio and Francesco Mercaldo
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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
    Altannar Chinchuluun, Rentsen Enkhbat and Panos M. Pardalos
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  • Computational and Strategic Business Modelling : IC-BIM 2021, Athens, Greece - Damianos P. Sakas
    Computational and Strategic Business Modelling
    IC-BIM 2021, Athens, Greece
    Damianos P. Sakas, Yulia Taratuhina and Dimitrios K. Nasiopoulos
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  • Sustainable Statistical and Data Science Methods and Practices : Reports from LISA 2020 Global Network, Ghana, 2022 - O. Olawale Awe
    Sustainable Statistical and Data Science Methods and Practices
    Reports from LISA 2020 Global Network, Ghana, 2022
    O. Olawale Awe and Eric A. Vance
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  • Introduction to Stochastic Processes Using R - Sivaprasad Madhira
    Introduction to Stochastic Processes Using R
    Sivaprasad Madhira and Shailaja Deshmukh
    Hardcover
    $199.00
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  • Weak Convergence and Empirical Processes : With Applications to Statistics - A. W. van der Vaart
    Weak Convergence and Empirical Processes
    With Applications to Statistics
    A. W. van der Vaart and Jon A. Wellner
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  • Statistical Approaches for Epidemiology : From Concept to Application - Amal K. Mitra
    Statistical Approaches for Epidemiology
    From Concept to Application
    Amal K. Mitra
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  • Sedentary Behaviour Epidemiology : Springer on Epidemiology and Public Health - Michael F. Leitzmann
    Sedentary Behaviour Epidemiology
    Springer on Epidemiology and Public Health
    Michael F. Leitzmann, Carmen Jochem and Daniela Schmid
    Hardcover
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    Analysis of Epidemiologic Data Using R
    Synthesis Lectures on Mathematics & Statistics
    Robert Hirsch
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  • Model Risk Management : Risk Bounds under Uncertainty - Ludger Rüschendorf
    Model Risk Management
    Risk Bounds under Uncertainty
    Ludger Rüschendorf, Steven Vanduffel and Carole Bernard
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  • Pro Power BI Theme Creation : JSON Stylesheets for Automated Dashboard Formatting - Adam Aspin
    Pro Power BI Theme Creation
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    Adam Aspin
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    $97.99
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    MLOps Lifecycle Toolkit
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    Dayne Sorvisto
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    $83.99
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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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  • Handbook of Fingerprint Recognition - Anil K. Jain
    Handbook of Fingerprint Recognition
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  • Discrete Choice Experiments Using R : A How-To Guide for Social and Managerial Sciences - Liang Shang
    Discrete Choice Experiments Using R
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    Liang Shang and Yanto Chandra
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    Magnetic Resonance Brain Imaging
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    Industry 4.0 Technologies
    Sustainable Manufacturing Supply Chains : Volum...
    Vimal K E K, Sonu Rajak and Vikas Kumar
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    Data Analytics
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    Juan J. Cuadrado-Gallego and Yuri Demchenko
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    Neuro Symbolic Reasoning and Learning
    Springerbriefs in Computer Science
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    Deep Learning Networks
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    Azad M. Madni, S. S. Iyengar and Jayakumar Singaram
    Hardcover
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    $168.75
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  • Peeling Random Planar Maps : Ecole d'Ete de Probabilites de Saint-Flour XLIX - 2019 - Nicolas Curien
    Peeling Random Planar Maps
    Ecole d'Ete de Probabilites de Saint-Flour XLIX...
    Nicolas Curien
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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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  • Autonomous Driving Perception : Fundamentals and Applications - Rui Fan
    Autonomous Driving Perception
    Fundamentals and Applications
    Rui Fan, Sicen Guo and Mohammud Junaid Bocus
    Hardcover
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  • The Art of Reinforcement Learning : Fundamentals, Mathematics, and Implementations with Python - Michael Hu
    The Art of Reinforcement Learning
    Fundamentals, Mathematics, and Implementations ...
    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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    Machine Learning Methods
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    Hardcover
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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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  • Big Qual : A Guide to Breadth-and-Depth Analysis - Emma Davidson
    Big Qual
    A Guide to Breadth-and-Depth Analysis
    Emma Davidson, Susie Weller, Rosalind Edwards and Lynn Jamieson
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    Data Analytics for Management, Banking and Finance
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    Foued Saâdaoui, Yichuan Zhao and Hana Rabbouch
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    Foundations of Applied Statistical Methods
    Hang Lee
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  • Modeling Correlated Outcomes Using Extensions of Generalized Estimating Equations and Linear Mixed Modeling - George J. Knafl
    Modeling Correlated Outcomes Using Extensions of Generalized Estimating Equations and Linear Mixed Modeling
    George J. Knafl
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  • Bayesian Statistics, New Generations New Approaches : BAYSM 2022, Montreal, Canada, June 22-23 - Alejandra Avalos-Pacheco
    Bayesian Statistics, New Generations New Approaches
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  • Eco-Stats : Data Analysis in Ecology : From t-tests to Multivariate Abundances - David I Warton
    Eco-Stats
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    Business Statistics for Competitive Advantage with Excel and JMP
    Basics, Model Building, Simulation, and Cases
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  • The Theory of Epistemic Fields : Fuzzy-Semantic Foundations of Intellectual Categories and Knowledge Factories - Kofi Kissi Dompere
    The Theory of Epistemic Fields
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  • AP Statistics Flashcards, Fifth Edition : Up-to-Date Practice - Martin Sternstein
    AP Statistics Flashcards, Fifth Edition
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    Martin Sternstein
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  • Trotter-Kato Approximations of Stochastic Differential Equations in Infinite Dimensions and Applications - T. E. Govindan
    Trotter-Kato Approximations of Stochastic Differential Equations in Infinite Dimensions and Applications
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    Statistics for Business and Economics
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    Traditional Chinese Medicine and Diseases
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