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  • Pattern Recognition and Computer Vision : 8th Chinese Conference, PRCV 2025, Shanghai, China, October 15-18, 2025, Proceedings, Part IX - Josef Kittler
    Pattern Recognition and Computer Vision
    8th Chinese Conference, PRCV 2025, Shanghai, Ch...
    Josef Kittler, Hongkai Xiong, Jian Yang, Xilin Chen and Weishi Zheng
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  • Advances in Artificial Intelligence and Machine Learning in Big Data Processing : Second International Conference, AAIMB 2024, Chennai, India, December 12-13, 2024, Proceedings, Part I - Geetha Ramachandran
    Advances in Artificial Intelligence and Machine Learning in Big Data Processing
    Second International Conference, AAIMB 2024, Ch...
    Geetha Ramachandran, Nhu-Ngoc Dao, Noor Zaman Jhanjhi, Anuradha Muthukrishnan and Hemanand Duraivelu
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  • Information, Communication and Computing Technology : 10th International Conference, ICICCT 2025, New Delhi, India, May 24, 2025, Revised Selected Papers - Petia Radeva
    Information, Communication and Computing Technology
    10th International Conference, ICICCT 2025, New...
    Petia Radeva, Duc Pham, Stefano Berretti, Pascal Lorenz and Deepak Chahal
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  • Practical Data Mining with AI for Social Scientists : Social Sciences (R0) - Andrei P. Kirilenko
    Practical Data Mining with AI for Social Scientists
    Social Sciences (R0)
    Andrei P. Kirilenko
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  • Metareasoning for Robots : Adapting in Dynamic and Uncertain Environments - Jeffrey W. Herrmann
    Metareasoning for Robots
    Adapting in Dynamic and Uncertain Environments
    Jeffrey W. Herrmann
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  • Responsible Artificial Intelligence and Data Science : First EAI International Conference, RAIDS 2024, Danang, Vietnam, October 22-24, 2024, Proceedings - Sébastien Thomassey
    Responsible Artificial Intelligence and Data Science
    First EAI International Conference, RAIDS 2024,...
    Sébastien Thomassey, Kim-Phuc Tran, Frédéric Vanderhaegen and Tsan-Ming Choi
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  • Metaheuristics in Engineering Applications : Advances in Metaheuristics - Mathew V K
    Metaheuristics in Engineering Applications
    Advances in Metaheuristics
    Mathew V K
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  • Demystifying AI : Data Science and Machine Learning Using IBM SPSS Modeler - Dothang Truong
    Demystifying AI
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    Dothang Truong
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  • Applied Statistics with Python : Volume II: Multivariate Models - Leon Kaganovskiy
    Applied Statistics with Python
    Volume II: Multivariate Models
    Leon Kaganovskiy
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  • Probability and Statistics for Engineering and the Sciences - Leif Ellingson
    Probability and Statistics for Engineering and the Sciences
    Leif Ellingson and Anna Panorska
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  • AI Projects in PyTorch : Hands-On Projects in Vision, Text, and Generative Models - Siddhesh Prashant Chaubal
    AI Projects in PyTorch
    Hands-On Projects in Vision, Text, and Generati...
    Siddhesh Prashant Chaubal
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  • Optimization Methods for Cooperative Task Allocation Problems in Drone Fleets : Mathematics and Statistics (R0) - He Luo
    Optimization Methods for Cooperative Task Allocation Problems in Drone Fleets
    Mathematics and Statistics (R0)
    He Luo, Xiaoxuan Hu, Guoqiang Wang and Yingying Ma
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  • Advances in Social Networks Analysis and Mining : Proceedings of the 17th International Conference on Advances in Social Networks Analysis and Mining - ASONAM 2025 - Panagiotis Karampelas
    Advances in Social Networks Analysis and Mining
    Proceedings of the 17th International Conferenc...
    Panagiotis Karampelas, Min-Yuh Day, I-Hsien Ting and Reda Alhajj
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  • Handbook of Statistics in Clinical Oncology - John Crowley
    Handbook of Statistics in Clinical Oncology
    John Crowley, Antje Hoering and Megan Othus
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  • Business Analytics : Theory and Practice - Susmita Bandyopadhyay
    Business Analytics
    Theory and Practice
    Susmita Bandyopadhyay
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  • Recent Advances in Computational Methods in Science and Technology : Volume 1 - Sukhpreet Kaur
    Recent Advances in Computational Methods in Science and Technology
    Volume 1
    Sukhpreet Kaur, Amanpreet Kaur and Manish Kumar
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  • Causal Inference and Machine Learning : In Economics, Social, and Health Sciences - Mutlu Yuksel
    Causal Inference and Machine Learning
    In Economics, Social, and Health Sciences
    Mutlu Yuksel and Yigit Aydede
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  • Understanding Structural Equation Models : Models of Relationships Between Variables - Phillip K. Wood
    Understanding Structural Equation Models
    Models of Relationships Between Variables
    Phillip K. Wood
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  • The Practical Guide to Large Language Models : Hands-On AI Applications with Hugging Face Transformers - Ivan Gridin
    The Practical Guide to Large Language Models
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    Ivan Gridin
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  • scikit-learn Cookbook : Over 80 recipes for machine learning in Python with scikit-learn - John Sukup
    scikit-learn Cookbook
    Over 80 recipes for machine learning in Python ...
    John Sukup
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  • How to Make the World Add Up : Ten Rules for Thinking Differently About Numbers - Tim Harford
    How to Make the World Add Up
    Ten Rules for Thinking Differently About Numbers
    Tim Harford
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  • The Practice of Statistics in the Life Sciences : 4th Edition - Brigitte Baldi
    The Practice of Statistics in the Life Sciences
    4th Edition
    Brigitte Baldi and David S. Moore
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  • Sports Analytics in Practice with R - Ted Kwartler
    Sports Analytics in Practice with R
    Ted Kwartler
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  • SPSS Statistics : 5th Edition - A Practical Guide - Kellie Bennett
    SPSS Statistics
    5th Edition - A Practical Guide
    Kellie Bennett, Brody Heritage and Peter Allen
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  • Partial Truths : How Fractions Distort Our Thinking - James C. Zimring
    Partial Truths
    How Fractions Distort Our Thinking
    James C. Zimring
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  • Proceedings of the 4th International Conference on Cognitive and Intelligent Computing—Volume 1 : ICCIC-2024, 29-30 November, Hyderabad, India - Amit Kumar
    Proceedings of the 4th International Conference on Cognitive and Intelligent Computing—Volume 1
    ICCIC-2024, 29-30 November, Hyderabad, India
    Amit Kumar, Gheorghita Ghinea and Suresh Merugu
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  • Business Information Systems Workshops : BIS 2025 International Workshops, Pozna?, Pozna?, June 25-27, 2025, Revised Selected Papers - Krzysztof W?cel
    Business Information Systems Workshops
    BIS 2025 International Workshops, Pozna?, Pozna...
    Krzysztof W?cel
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  • New Trends in Bayesian Statistics : BAYSM 2023, Online Meeting, November 13-17, Selected Contributions - Alejandra Avalos-Pacheco
    New Trends in Bayesian Statistics
    BAYSM 2023, Online Meeting, November 13-17, Sel...
    Alejandra Avalos-Pacheco, Fan Bu, Beatrice Franzolini and Beniamino Hadj-Amar
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  • Development of Diagnostic Procedures Using Features of Pupil Reactions : Mathematics and Statistics (R0) - Minoru Nakayama
    Development of Diagnostic Procedures Using Features of Pupil Reactions
    Mathematics and Statistics (R0)
    Minoru Nakayama and Wioletta Nowak
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  • Learning and Intelligent Optimization : 19th International Conference, LION 19, Prague, Czech Republic, June 15-19, 2025, Proceedings, Part I - Yingqian Zhang
    Learning and Intelligent Optimization
    19th International Conference, LION 19, Prague,...
    Yingqian Zhang, Milan Hladik and Hossein Moosaei
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  • Causal Inference for Machine Learning Engineers : A Practical Guide - Durai Rajamanickam
    Causal Inference for Machine Learning Engineers
    A Practical Guide
    Durai Rajamanickam
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  • Image Analysis and Processing - ICIAP 2025 Workshops : 23rd International Conference, Rome, Italy, September 15-19, 2025, Proceedings, Part II - Emanuele Rodolà
    Image Analysis and Processing - ICIAP 2025 Workshops
    23rd International Conference, Rome, Italy, Sep...
    Emanuele Rodolà, Fabio Galasso and Iacopo Masi
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    $159.01
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  • Computational Intelligence and Network Security : Second International Conference, ICCINS 2025, Raipur, India, April 3-4, 2025, Proceedings - Preeti Chandrakar
    Computational Intelligence and Network Security
    Second International Conference, ICCINS 2025, R...
    Preeti Chandrakar, K. Jairam Naik, Zahid Akhtar, Chien Ming Chen and Karnati Mohan
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  • The Exception We Call Home - Hanzla Shamshad
    The Exception We Call Home
    Hanzla Shamshad
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  • Data Science and Big Data Analytics : Proceedings of IDBA 2025, Volume 1 - Durgesh Mishra
    Data Science and Big Data Analytics
    Proceedings of IDBA 2025, Volume 1
    Durgesh Mishra, Xin She Yang, Aynur Unal and Dharm Singh Jat
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  • Data Science for Modeling Managerial and Socioeconomic Problems : Concepts, Techniques, and Applications - Faiz Hamid
    Data Science for Modeling Managerial and Socioeconomic Problems
    Concepts, Techniques, and Applications
    Faiz Hamid and Deep Mukherjee
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  • Blockchain Technology and Emerging Applications : 4th EAI International Conference, BlockTEA 2025, Venice, Italy, September 18-19, 2025, Proceedings - William Knottenbelt
    Blockchain Technology and Emerging Applications
    4th EAI International Conference, BlockTEA 2025...
    William Knottenbelt, Dalila Ressi, Sabina Rossi and Francesco Tiezzi
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  • Human Capital Supply Chain in the Age of AI : Workforce Transformation, Strategy, and the Future of Work - Gary W. Griffin
    Human Capital Supply Chain in the Age of AI
    Workforce Transformation, Strategy, and the Fut...
    Gary W. Griffin
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  • Proceedings of Second International Symposium on Artificial Intelligence : ISAI 2025 - Debasis Giri
    Proceedings of Second International Symposium on Artificial Intelligence
    ISAI 2025
    Debasis Giri, Asif Ekbal, Sangram Ray and Sakurai Kouichi
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  • Collection and Analysis of Text Data in Sensory and Consumer Science : Biomedical and Life Sciences (R0) - Michel Visalli
    Collection and Analysis of Text Data in Sensory and Consumer Science
    Biomedical and Life Sciences (R0)
    Michel Visalli and Mara Virginia Galmarini
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  • Artificial Intelligence for Early Detection and Diagnosis of Oral Cancer : Engineering (R0) - Rohit Thanki
    Artificial Intelligence for Early Detection and Diagnosis of Oral Cancer
    Engineering (R0)
    Rohit Thanki and Sejal Shah
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  • Video Grounding and Its Generalization : From I.D. and Task-specific Models to O.O.D. and Large Foundation Models - Xin Wang
    Video Grounding and Its Generalization
    From I.D. and Task-specific Models to O.O.D. an...
    Xin Wang, Xiaohan Lan and Wenwu Zhu
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  • Machine Learning and Deep Learning in Human Activity Recognition and Fall Detection : Algorithms, Frameworks, and Applications for Sustainable Healthcare - Suparna Biswas
    Machine Learning and Deep Learning in Human Activity Recognition and Fall Detection
    Algorithms, Frameworks, and Applications for Su...
    Suparna Biswas
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  • Cambridge AS and A Level Mathematics 9709 2026 : Mechanics, and Probability and Statistics - Azhar ul Haque Sario
    Cambridge AS and A Level Mathematics 9709 2026
    Mechanics, and Probability and Statistics
    Azhar ul Haque Sario
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  • Intelligent Systems in Biomedicine : Theories, Algorithms, and Clinical Applications - Almir Badnjevi?
    Intelligent Systems in Biomedicine
    Theories, Algorithms, and Clinical Applications
    Almir Badnjevi? and Lemana Spahi?
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  • STATISTICS FOR ECONOMICS (CLASS XI) - Dr Naman Singh
    STATISTICS FOR ECONOMICS (CLASS XI)
    Dr Naman Singh and Anjali Verma
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  • How To Make A Living Betting Horses : A Probability-Based Framework for Understanding Horse Racing Markets - Gary Levin
    How To Make A Living Betting Horses
    A Probability-Based Framework for Understanding...
    Gary Levin
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  • Abel-Gontcharoff Pseudopolynomials and Stochastic Applications : ISTE Invoiced - Philippe Picard
    Abel-Gontcharoff Pseudopolynomials and Stochastic Applications
    ISTE Invoiced
    Philippe Picard and Claude Lefevre
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  • Measure or Mirage : How Measurement Shapes Modern Semiconductors - Allen Bi
    Measure or Mirage
    How Measurement Shapes Modern Semiconductors
    Allen Bi
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  • Bayesian Cost-Effectiveness Analysis with the R package BCEA : Mathematics and Statistics (R0) - Gianluca Baio
    Bayesian Cost-Effectiveness Analysis with the R package BCEA
    Mathematics and Statistics (R0)
    Gianluca Baio, Andrea Berardi, Anna Heath and Nathan Green
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  • Applied Time Series Analysis for the Social Sciences : Specification, Estimation, and Inference - Regina M. Baker
    Applied Time Series Analysis for the Social Sciences
    Specification, Estimation, and Inference
    Regina M. Baker
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  • Dynamic Data Driven Applications Systems : 5th International Conference, DDDAS/Infosymbiotics for Reliable AI 2024, New Brunswick, NJ, USA, November 6-8, 2024, Proceedings - Erik Blasch
    Dynamic Data Driven Applications Systems
    5th International Conference, DDDAS/Infosymbiot...
    Erik Blasch, Frederica Darema and Dimitris Metaxas
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  • Paradigm Shifts in Communication, Embedded Systems, Machine Learning, and Signal Processing : Third International Conference, PCEMS 2024, Nagpur, India, November 11-12, 2024, Revised Selected Papers, Part I - Deep Gupta
    Paradigm Shifts in Communication, Embedded Systems, Machine Learning, and Signal Processing
    Third International Conference, PCEMS 2024, Nag...
    Deep Gupta, Vipin Kamble, Vishal Satpute and Ashwin Kothari
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  • Prompting Causal Events : Artificial Intelligence (R0) - Jordi Vallverdú
    Prompting Causal Events
    Artificial Intelligence (R0)
    Jordi Vallverdú
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  • Medical Image Computing and Computer Assisted Intervention - MICCAI 2025 : 28th International Conference, Daejeon, South Korea, September 23-27, 2025, Proceedings, Part IV - James C. Gee
    Medical Image Computing and Computer Assisted Intervention - MICCAI 2025
    28th International Conference, Daejeon, South K...
    James C. Gee, Daniel C. Alexander, Jaesung Hong, Juan Eugenio Iglesias and Jinah Park
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  • Foundations of Multiple Regression and Analysis of Variance - Lynn Roy LaMotte
    Foundations of Multiple Regression and Analysis of Variance
    Lynn Roy LaMotte
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    Foundations of Multiple Regression and Analysis of Variance
    Lynn Roy LaMotte
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  • Basic Statistics for Life Scientists : A Concise Handbook of Essential Techniques - Jakub Tomek
    Basic Statistics for Life Scientists
    A Concise Handbook of Essential Techniques
    Jakub Tomek and David Eisner
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  • Implementing R for Statistics - Muhammad Imran
    Implementing R for Statistics
    Muhammad Imran, Michail Tsagris, Farrukh Jamal and Christophe Chesneau
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  • Spiking Neural P Systems for Time Series Analysis - Jun Wang
    Spiking Neural P Systems for Time Series Analysis
    Jun Wang and Hong Peng
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  • Permutation Tests for Complex Data : Theory, Applications and Software - Fortunato Pesarin
    Permutation Tests for Complex Data
    Theory, Applications and Software
    Fortunato Pesarin and Luigi Salmaso
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  • AI-Enabled Learning Engagement Analysis : Revolutionizing Education with AI - Zhi Liu
    AI-Enabled Learning Engagement Analysis
    Revolutionizing Education with AI
    Zhi Liu and Yao Xiao
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  • Applied Statistics in Biology : A Practical Guide Using SAS, R, and JMP - Stephen R. Bowley
    Applied Statistics in Biology
    A Practical Guide Using SAS, R, and JMP
    Stephen R. Bowley, Edzard van Santen, Simon Riley, Diane K. Michelson and Ruth M. Hummel
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  • Statistical Methods and Models for Health and Clinical Studies : Medicine (R0) - Shahjahan Khan
    Statistical Methods and Models for Health and Clinical Studies
    Medicine (R0)
    Shahjahan Khan and Md. Shafiur Rahman
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  • R for Data Science : Import, Tidy, Transform, Visualize, and Model Data - Hadley Wickham
    R for Data Science
    Import, Tidy, Transform, Visualize, and Model Data
    Hadley Wickham, Mine Çetinkaya-Rundel and Garrett Grolemund
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  • Kernel Smoothing : Principles, Methods and Applications - Sucharita Ghosh
    Kernel Smoothing
    Principles, Methods and Applications
    Sucharita Ghosh
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  • Introduction to Quantitative Research Methods : An Investigative Approach - Mark Balnaves
    Introduction to Quantitative Research Methods
    An Investigative Approach
    Mark Balnaves and Peter Caputi
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  • Understanding and Using Advanced Statistics : A Practical Guide for Students - Jeremy J Foster
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