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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...
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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
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    Data Science
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    Statistics for Business and Economics
    Compendium of Essential Formulas
    Franz W. Peren
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    Reliability Engineering
    Dmytro Tiniakov, Youchao Sun and Longbiao Li
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    Stein Estimation
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    Yuzo Maruyama, Tatsuya Kubokawa and William E. Strawderman
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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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  • Introduction to Stochastic Processes Using R - Sivaprasad Madhira
    Introduction to Stochastic Processes Using R
    Sivaprasad Madhira and Shailaja Deshmukh
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    Statistical Approaches for Epidemiology
    From Concept to Application
    Amal K. Mitra
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  • Modern Discrete Probability : An Essential Toolkit - Sébastien Roch
    Modern Discrete Probability
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    Sébastien Roch
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    GANs for Data Augmentation in Healthcare
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  • Continuous Time Processes for Finance : Switching, Self-exciting, Fractional and other Recent Dynamics - Donatien Hainaut
    Continuous Time Processes for Finance
    Switching, Self-exciting, Fractional and other ...
    Donatien Hainaut
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  • Practical Applications of Stochastic Modelling : 11th International Workshop, PASM 2022, Alicante, Spain, September 23, 2022, Revised Selected Papers - Matthew Forshaw
    Practical Applications of Stochastic Modelling
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    Matthew Forshaw, Katja Gilly and William Knottenbelt
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    Size
    How It Explains the World
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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
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    Hong Zhou
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  • Python Debugging for AI, Machine Learning, and Cloud Computing : A Pattern-Oriented Approach - Dmitry Vostokov
    Python Debugging for AI, Machine Learning, and Cloud Computing
    A Pattern-Oriented Approach
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  • Distributed Machine Learning with PySpark : Migrating Effortlessly from Pandas and Scikit-Learn - Abdelaziz Testas
    Distributed Machine Learning with PySpark
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    Abdelaziz Testas
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  • Agriculture-Centric Computation : First International Conference, ICA 2023, Chandigarh, India, May 11-13, 2023, Revised Selected Papers - Mukesh Kumar Saini
    Agriculture-Centric Computation
    First International Conference, ICA 2023, Chand...
    Mukesh Kumar Saini, Neeraj Goel and Hanumant Singh Shekhawat
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    Stochastic Elasticity
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    Analysis of Epidemiologic Data Using R
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    Foundations of Applied Statistical Methods
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    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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  • Session-Based Recommender Systems Using Deep Learning - Reza Ravanmehr
    Session-Based Recommender Systems Using Deep Learning
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  • Nilspace Factors for General Uniformity Seminorms, Cubic Exchangeability and Limits : Memoirs of the American Mathematical Society - Pablo Candela
    Nilspace Factors for General Uniformity Seminorms, Cubic Exchangeability and Limits
    Memoirs of the American Mathematical Society
    Pablo Candela and Balazs Szegedy
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    RRP $197.00
    $187.75
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  • Proceedings of Data Analytics and Management : ICDAM 2023, Volume 1 - Abhishek Swaroop
    Proceedings of Data Analytics and Management
    ICDAM 2023, Volume 1
    Abhishek Swaroop, Zdzislaw Polkowski, Sergio Duarte Correia and Bal Virdee
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  • Probabilistic Aesthetics of the Avant-Gardes : Predictive Arts - Konrad Wojnowski
    Probabilistic Aesthetics of the Avant-Gardes
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    ChatGPT for Beginners
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    Modern Survey Analysis
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  • Notes on Tug-of-War Games and the p-Laplace Equation : SpringerBriefs on PDEs and Data Science - Mikko Parviainen
    Notes on Tug-of-War Games and the p-Laplace Equation
    SpringerBriefs on PDEs and Data Science
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    Statistics for Business and Economics
    David Anderson, Thomas Williams, Michael Fry, Jeffrey Camm and Jeffrey Ohlmann
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  • Measure Theory, Probability, and Stochastic Processes : Graduate Texts in Mathematics - Jean-Francois Le Gall
    Measure Theory, Probability, and Stochastic Processes
    Graduate Texts in Mathematics
    Jean-Francois Le Gall
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  • Intelligent Systems and Pattern Recognition : Third International Conference, ISPR 2023, Hammamet, Tunisia, May 11-13, 2023, Revised Selected Papers, Part II - Ahmed Bouridane
    Intelligent Systems and Pattern Recognition
    Third International Conference, ISPR 2023, Hamm...
    Ahmed Bouridane, Lotfi Chaari and Akram Bennour
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    $118.75
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    Intelligent Systems and Pattern Recognition
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    Ahmed Bouridane, Lotfi Chaari and Akram Bennour
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  • Random Walk and Diffusion Models : An Introduction for Life and Behavioral Scientists - Wolf Schwarz
    Random Walk and Diffusion Models
    An Introduction for Life and Behavioral Scientists
    Wolf Schwarz
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  • Communication and Applied Technologies : Proceedings of ICOMTA 2023 - Araceli Espinosa
    Communication and Applied Technologies
    Proceedings of ICOMTA 2023
    Araceli Espinosa, Paulo Carlos Lopez-Lopez, Laura M. Castro, Ivan Puentes-Rivera and Daniel Barredo Ibanez
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  • Defining Enterprise Data and Analytics Strategy : Pragmatic Guidance on Defining Strategy Based on Successful Digital Transformation Experience of Multiple Fortune 500 and Other Global Companies - Prakash Sah
    Defining Enterprise Data and Analytics Strategy
    Pragmatic Guidance on Defining Strategy Based o...
    Prakash Sah
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    Critical Factors for Adoption of Customer Relationship Management
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    Omar Hasan Salah, Zawiyah Mohammad Yusof and Hazura Mohamed
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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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    A Risky Business
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    Catrin Townsend
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    Deep Learning
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    Incentive Mechanism for Mobile Crowdsensing
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    Predictive Analytics with KNIME
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  • Traditional Chinese Medicine and Diseases : An Omics Big-data Mining Perspective - Kang Ning
    Traditional Chinese Medicine and Diseases
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  • Handbook of Functional MRI Data Analysis - Russell A. Poldrack
    Handbook of Functional MRI Data Analysis
    Russell A. Poldrack, Jeanette A. Mumford and Thomas E. Nichols
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  • A Ramble Through Probability : How I Learned to Stop Worrying and Love Measure Theory - Samopriya Basu
    A Ramble Through Probability
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    Samopriya Basu, Troy Butler, Don Estep and Nishant Panda
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    $205.75
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  • Responsible Data Science : Select Proceedings of ICDSE 2021 - Deepak P.
    Responsible Data Science
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    An Introductory Handbook of Bayesian Thinking
    Loftus
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    $126.99
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  • An Introduction to Probability and Statistical Inference - George G. Roussas
    An Introduction to Probability and Statistical Inference
    George G. Roussas
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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
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    Machine Learning Algorithms
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  • Stochastic Calculus via Regularizations : Bocconi & Springer - Francesco Russo
    Stochastic Calculus via Regularizations
    Bocconi & Springer
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    The Beginner's Guide to Data Science
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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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  • Introduction to Probability and Statistics - Hubert Murphy
    Introduction to Probability and Statistics
    Hubert Murphy
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  • Innovative Decision-Making Techniques : A FOCCUSSED Approach - Omar Periu
    Innovative Decision-Making Techniques
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    Modern Statistics
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  • Numbercrunch : A Mathematician's Toolkit for Making Sense of Your World - Professor Oliver Johnson
    Numbercrunch
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    Professor Oliver Johnson
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  • Applied Generative AI for Beginners : Practical Knowledge on Diffusion Models, ChatGPT, and Other LLMs - Adarsha Shivananda
    Applied Generative AI for Beginners
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  • Proceedings of the 6th International Symposium on Uncertainty Quantification and Stochastic Modelling : Uncertainties 2023 - Jose Eduardo Souza De Cursi
    Proceedings of the 6th International Symposium on Uncertainty Quantification and Stochastic Modelling
    Uncertainties 2023
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    The Math You Need
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    Thomas Mack
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    Functional Estimation for Density, Regression Models and Processes (Second Edition)
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    Odile Pons
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  • Mathematical Theory of Uniformity and its Applications in Ecology and Chaos : SpringerBriefs in Applied Sciences and Technology - Chuanwen Luo
    Mathematical Theory of Uniformity and its Applications in Ecology and Chaos
    SpringerBriefs in Applied Sciences and Technology
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  • Productivity : Concepts, Measurement, Aggregation, and Decomposition - Bert M. Balk
    Productivity
    Concepts, Measurement, Aggregation, and Decompo...
    Bert M. Balk
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  • Probability in Electrical Engineering and Computer Science : An Application-Driven Course - Jean Walrand
    Probability in Electrical Engineering and Computer Science
    An Application-Driven Course
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    Random Process Analysis With R
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