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  • Fundamentals of Statistical Experimental Design and Analysis - Robert G. Easterling
    Fundamentals of Statistical Experimental Design and Analysis
    Robert G. Easterling
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  • Probability and Random Processes - Venkatarama Krishnan
    Probability and Random Processes
    Venkatarama Krishnan and Kavitha Chandra
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  • Causality in a Social World : Moderation, Mediation and Spill-over - Guanglei Hong
    Causality in a Social World
    Moderation, Mediation and Spill-over
    Guanglei Hong
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  • Behavioral Computational Social Science : Wiley Series in Computational and Quantitative Social Science - Riccardo Boero
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    Riccardo Boero
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  • Statistical Data Analytics : Foundations for Data Mining, Informatics, and Knowledge Discovery - Walter W. Piegorsch
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    Walter W. Piegorsch
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  • A Practical Introduction to Index Numbers - Jeff Ralph
    A Practical Introduction to Index Numbers
    Jeff Ralph, Rob O'Neill and Joe Winton
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  • Statistical Data Analytics : Foundations for Data Mining, Informatics, and Knowledge Discovery, Solutions Manual - Walter W. Piegorsch
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    Walter W. Piegorsch
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  • Clinical Interaction and the Analysis of Meaning : A New Psychoanalytic Theory - Theo L. Dorpat
    Clinical Interaction and the Analysis of Meaning
    A New Psychoanalytic Theory
    Theo L. Dorpat and Michael L. Miller
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  • Philosophical Theories of Probability : Philosophical Issues in Science - Donald Gillies
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    Donald Gillies
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  • Applied Univariate, Bivariate, and Multivariate Statistics - Daniel J. Denis
    Applied Univariate, Bivariate, and Multivariate Statistics
    Daniel J. Denis
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  • Randomization in Clinical Trials : Theory and Practice - William F. Rosenberger
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    William F. Rosenberger and John M. Lachin
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  • Mathematics and Archaeology - Juan A. Barcelo
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    Juan A. Barcelo
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  • Case Studies in Bayesian Statistical Modelling and Analysis : Wiley Series in Probability and Statistics - Clair L. Alston
    Case Studies in Bayesian Statistical Modelling and Analysis
    Wiley Series in Probability and Statistics
    Clair L. Alston, Kerrie L. Mengersen and Anthony N. Pettitt
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  • Designing and Conducting Business Surveys : Wiley Series in Survey Methodology : Book 568 - Ger Snijkers
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    Ger Snijkers, Gustav Haraldsen, Jacqui Jones and Diane Willimack
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  • Applied Mathematics - J. David Logan
    Applied Mathematics
    J. David Logan
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  • Applied Logistic Regression : Wiley Series in Probability and Statistics - David W. Hosmer Jr.
    Applied Logistic Regression
    Wiley Series in Probability and Statistics
    David W. Hosmer Jr., Stanley Lemeshow and Rodney X. Sturdivant
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  • Data Mining and Business Analytics with R - Johannes Ledolter
    Data Mining and Business Analytics with R
    Johannes Ledolter
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  • Applied Missing Data Analysis in the Health Sciences : Statistics in Practice - Xiao-Hua Zhou
    Applied Missing Data Analysis in the Health Sciences
    Statistics in Practice
    Xiao-Hua Zhou, Chuan Zhou, Danping Lui and Xaiobo Ding
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  • Applied Linear Regression : Wiley Series in Probability and Statistics - Sanford Weisberg
    Applied Linear Regression
    Wiley Series in Probability and Statistics
    Sanford Weisberg
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  • Bayesian Approach to Inverse Problems - Jérôme Idier
    Bayesian Approach to Inverse Problems
    Jérôme Idier
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  • Convergence of Probability Measures : Wiley Series in Probability and Statistics - Patrick Billingsley
    Convergence of Probability Measures
    Wiley Series in Probability and Statistics
    Patrick Billingsley
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  • Design, Evaluation, and Analysis of Questionnaires for Survey Research : Wiley Series in Survey Methodology - Willem E. Saris
    Design, Evaluation, and Analysis of Questionnaires for Survey Research
    Wiley Series in Survey Methodology
    Willem E. Saris and Irmtraud N. Gallhofer
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  • Bayesian Methods for Management and Business : Pragmatic Solutions for Real Problems - Eugene D. Hahn
    Bayesian Methods for Management and Business
    Pragmatic Solutions for Real Problems
    Eugene D. Hahn
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  • Categorical Data Analysis : Wiley Series in Probability and Statistics - Alan Agresti
    Categorical Data Analysis
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    Alan Agresti
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  • Correspondence Analysis : Theory, Practice and New Strategies - Eric J. Beh
    Correspondence Analysis
    Theory, Practice and New Strategies
    Eric J. Beh and Rosaria Lombardo
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  • Computational Approaches to Studying the Co-evolution of Networks and Behavior in Social Dilemmas : Wiley Series in Computational and Quantitative Social Science - Rense Corten
    Computational Approaches to Studying the Co-evolution of Networks and Behavior in Social Dilemmas
    Wiley Series in Computational and Quantitative ...
    Rense Corten
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  • Bayesian Inference in the Social Sciences - Ivan Jeliazkov
    Bayesian Inference in the Social Sciences
    Ivan Jeliazkov and Xin-She Yang
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  • Beyond Basic Statistics : Tips, Tricks, and Techniques Every Data Analyst Should Know - Kristin H. Jarman
    Beyond Basic Statistics
    Tips, Tricks, and Techniques Every Data Analyst...
    Kristin H. Jarman
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  • Applied Bayesian Modelling : Wiley Series in Probability and Statistics : Book 595 - Peter Congdon
    Applied Bayesian Modelling
    Wiley Series in Probability and Statistics : Bo...
    Peter Congdon
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  • Advances in Heavy Tailed Risk Modeling : A Handbook of Operational Risk - Gareth W. Peters
    Advances in Heavy Tailed Risk Modeling
    A Handbook of Operational Risk
    Gareth W. Peters and Pavel V. Shevchenko
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  • Bayesian Networks for Probabilistic Inference and Decision Analysis in Forensic Science : Statistics in Practice - Franco Taroni
    Bayesian Networks for Probabilistic Inference and Decision Analysis in Forensic Science
    Statistics in Practice
    Franco Taroni, Alex Biedermann, Silvia Bozza, Paolo Garbolino and Colin Aitken
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  • Design and Analysis of Clinical Trials : Concepts and Methodologies - Shein-Chung Chow
    Design and Analysis of Clinical Trials
    Concepts and Methodologies
    Shein-Chung Chow and Jen-Pei Liu
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  • Computational Statistics : Wiley Series in Computational Statistics : Book 710 - Geof H. Givens
    Computational Statistics
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    Geof H. Givens and Jennifer A. Hoeting
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  • Cognitive Interviewing Methodology : A Sociological Approach for Survey Question Evaluation - Kristen Miller
    Cognitive Interviewing Methodology
    A Sociological Approach for Survey Question Eva...
    Kristen Miller, Valerie Chepp, Stephanie Willson and Jose-Luis Padilla
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  • Data Analysis - Gérard Govaert
    Data Analysis
    Gérard Govaert
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  • Applied Regression Analysis : Wiley Series in Probability and Statistics : Book 326 - Norman R. Draper
    Applied Regression Analysis
    Wiley Series in Probability and Statistics : Bo...
    Norman R. Draper and Harry Smith
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  • Biostatistical Methods : The Assessment of Relative Risks - John M. Lachin
    Biostatistical Methods
    The Assessment of Relative Risks
    John M. Lachin
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  • Basic Data Analysis for Time Series with R - DeWayne R. Derryberry
    Basic Data Analysis for Time Series with R
    DeWayne R. Derryberry
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  • Practical Statistics for Environmental and Biological Scientists - John Townend
    Practical Statistics for Environmental and Biological Scientists
    John Townend
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  • Introduction to Statistics for Forensic Scientists - David Lucy
    Introduction to Statistics for Forensic Scientists
    David Lucy
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  • Race, Colonialism and the City : Techniques and Applications - John Rex
    Race, Colonialism and the City
    Techniques and Applications
    John Rex
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  • Multiple Imputation and its Application : Statistics in Practice - James Carpenter
    Multiple Imputation and its Application
    Statistics in Practice
    James Carpenter and Michael Kenward
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  • The R Book - Michael J. Crawley
    The R Book
    Michael J. Crawley
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  • Practical Statistics for Educators - Ruth Ravid
    Practical Statistics for Educators
    Ruth Ravid
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  • Sensible Decision-Making : Cultivating Systemic and Creative Thinking - Yoshiteru Nakamori
    Sensible Decision-Making
    Cultivating Systemic and Creative Thinking
    Yoshiteru Nakamori
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  • Advances in the Theory and Practice of Data Envelopment Analysis : Proceedings of the International Conference on Data Envelopment Analysis (DEA2024) - Ali Emrouznejad
    Advances in the Theory and Practice of Data Envelopment Analysis
    Proceedings of the International Conference on ...
    Ali Emrouznejad, Subhash C. Ray and Gokulnanda Patel
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  • A Course of Stochastic Analysis : Mathematics and Statistics (R0) - Alexander Melnikov
    A Course of Stochastic Analysis
    Mathematics and Statistics (R0)
    Alexander Melnikov
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  • Guide to AI for Cybersecurity : Principles, Frameworks, and Practical Implementation - Muthu Ramachandran
    Guide to AI for Cybersecurity
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    Muthu Ramachandran
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  • Applied Linear Regression for Business Analytics with Python : A Practical Guide Using Ravix with Case Studies - Daniel P. McGibney
    Applied Linear Regression for Business Analytics with Python
    A Practical Guide Using Ravix with Case Studies
    Daniel P. McGibney
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  • Pattern Recognition and Machine Learning for Self-Study I : Supervised Learning - Kenichiro Ishii
    Pattern Recognition and Machine Learning for Self-Study I
    Supervised Learning
    Kenichiro Ishii, Naonori Ueda, Eisaku Maeda and Hiroshi Murase
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  • Graphical Models and Causal Discovery with Python : 100 Exercises for Building Logic - Joe Suzuki
    Graphical Models and Causal Discovery with Python
    100 Exercises for Building Logic
    Joe Suzuki
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  • Semantic Communications : Engineering (R0) - Wei Chen
    Semantic Communications
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    Wei Chen and Zhijin Qin
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  • A Guide to Generalized Functions : Linear, Nonlinear, Random, and Infinite Dimensional Distributions - Ulu? Çapar
    A Guide to Generalized Functions
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    Ulu? Çapar
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  • The DeepSeek Moment : A New Era of Efficiency, Intelligent Design, and Democratization - Harshad Oak
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    Harshad Oak and Monish Darda
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  • Optimization-Driven Deep Reinforcement Learning for Wireless Networks : Computer Science (R0) - Shimin Gong
    Optimization-Driven Deep Reinforcement Learning for Wireless Networks
    Computer Science (R0)
    Shimin Gong, Dusit Niyato, Bo Gu and Kaibin Huang
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  • Machine Learning, Optimization, and Data Science : 11th International Conference, LOD 2025, Castiglione della Pescaia, Italy, September 21-24, 2025, Revised Selected Papers, Part II - Giuseppe Nicosia
    Machine Learning, Optimization, and Data Science
    11th International Conference, LOD 2025, Castig...
    Giuseppe Nicosia, Varun Ojha, Sven Giesselbach, M. Panos Pardalos and La Malfa Gabriele
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  • Scientific Machine Learning with Engineering Applications : Artificial Intelligence (R0) - Timon Rabczuk
    Scientific Machine Learning with Engineering Applications
    Artificial Intelligence (R0)
    Timon Rabczuk, Cosmin Anitescu, Somdatta Goswami, Xiaoying Zhuang and Yizheng Wang
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  • Applied Intelligence : Third International Conference, ICAI 2025, Nanning, China, November 6-9, 2025, Proceedings, Part II - De-Shuang Huang
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    Third International Conference, ICAI 2025, Nann...
    De-Shuang Huang, Chuanlei Zhang, Wei Chen, Bo Li and Yijie Pan
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  • Theory of Statistical Estimation : Contributions to Higher Order Asymptotics and Non-Regular Cases - Masafumi Akahira
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    Masafumi Akahira
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  • Autonomous Embodied AI : Towards Self-evolving Intelligence - Xin Wang
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    Xin Wang, Tongtong Feng, Huaping Liu and Wenwu Zhu
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  • Water-Saving Technologies for Hotels and Restaurants : Research, Implementation, and Environmental Benefits - Vikky Anand
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    Vikky Anand, Pradip Kumar Tewari and Manoj Kumar Jindal
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  • Towards AI Large Model : Remote Sensing Image Intelligent Interpretation and Application - Pengming Feng
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  • Vibration Fatigue and Related Topics : In Celebration of the 40th Anniversary of Turan Dirlik's Thesis - Denis Benasciutti
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  • Proceedings of World Conference on Artificial Intelligence: Advances and Applications : WCAIAA 2025, Volume 2 - Ashish Kumar Tripathi
    Proceedings of World Conference on Artificial Intelligence: Advances and Applications
    WCAIAA 2025, Volume 2
    Ashish Kumar Tripathi, Apu Kumar Saha and Vivek Shrivastava
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  • Security and Resilience in Distributed Machine Learning : Challenges, Techniques, and Future Directions - Kai Li
    Security and Resilience in Distributed Machine Learning
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    Kai Li, Xin Yuan and Wei Ni
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  • Marketing Analytics and Data Science : Tools and Models - Xiaojing Dong
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    Xiaojing Dong
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  • Model and Data Engineering : 14th International Conference, MEDI 2025, Cairo, Egypt, November 2-4, 2025, Proceedings - Ahmed Awad
    Model and Data Engineering
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    Ahmed Awad, Carlos Ordonez, Ahmed Hassan and Ladjel Bellatreche
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  • A Mathematical Introduction to Data Science with Python : Computer Science (R0) - Yi Sun
    A Mathematical Introduction to Data Science with Python
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    Yi Sun and Rod Adams
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  • Applications of Neuro-Symbolic Artificial Intelligence : Artificial Intelligence (R0) - Boris Galitsky
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    Boris Galitsky
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  • Machine Unlearning for Governance of Foundation Models : Synthesis Collection of Technology (R0) - Sijia Liu
    Machine Unlearning for Governance of Foundation Models
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    Sijia Liu, Yang Liu and Nathalie Baracaldo
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  • Multimodal Event Detection on Social Media : Artificial Intelligence (R0) - Zehang Lin
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    Zehang Lin and Qing Li
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  • Ergodic Theory : A Probabilistic Approach to Dynamical Systems - Alex Blumenthal
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    Alex Blumenthal and Lai-Sang Young
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  • Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers : 16th International Workshop, STACOM 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Revised Selected Papers - Oscar Camara
    Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers
    16th International Workshop, STACOM 2025, Held ...
    Oscar Camara, Esther Puyol Antón, Maxime Sermesant, Charlène Mauge and Alistair Young
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  • Stochastics in Fluids : Mathematics and Statistics (R0) - TomᚠBodnár
    Stochastics in Fluids
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    TomᚠBodnár, Giovanni P. Galdi and Šárka Ne?asová
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  • Understanding Markov Chains : Examples and Applications - Nicolas Privault
    Understanding Markov Chains
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    Nicolas Privault
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  • Architectures for Agentic AI : Integrating Multi-Agent Systems, Reinforcement Learning, and LLMs for Autonomous Decision-Making - Pedro Oliveira
    Architectures for Agentic AI
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