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eBooks > Non-Fiction > Computing & I.T. > Computer Science > Artificial Intelligence > Machine Learning
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Machine Learning

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  • Data Science : 2nd Edition - Concepts and Practice - Vijay Kotu
    Data Science
    2nd Edition - Concepts and Practice
    Vijay Kotu and Bala Deshpande
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  • Computer Science Engineering : Proceedings of the 1st International Conference on Computing and Intelligent Information Systems (ICCIIS 2024), Bangalore, India, 19-20th April, 2024 Volume 2 - Gururaj H L
    Computer Science Engineering
    Proceedings of the 1st International Conference...
    Gururaj H L, Francesco Flammini, S Srividhya, Chayadevi M L and Sheba Selvam
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  • Computer Science Engineering : Proceedings of the 1st International Conference on Computing and Intelligent Information Systems (ICCIIS 2024), Bangalore, India, 19-20th April, 2024 Volume 1 - Gururaj H L
    Computer Science Engineering
    Proceedings of the 1st International Conference...
    Gururaj H L, Francesco Flammini, S Srividhya, Chayadevi M L and Sheba Selvam
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  • Vectorization : A Practical Guide to Efficient Implementations of Machine Learning Algorithms - Edward DongBo Cui
    Vectorization
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    Edward DongBo Cui
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  • AI : The New Gold Rush - Don Edwards
    AI
    The New Gold Rush
    Don Edwards
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  • Introduction to Machine Learning Through Poetry : The Transdisciplinary and Interdisciplinary School : Book 1 - Hosanee Yeeshtdevisingh
    Introduction to Machine Learning Through Poetry
    The Transdisciplinary and Interdisciplinary Sch...
    Hosanee Yeeshtdevisingh
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  • Deep Learning Crash Course - Giovanni Volpe
    Deep Learning Crash Course
    Giovanni Volpe, Benjamin Midtvedt, Jesús Pineda, Henrik Klein Moberg and Harshith Bachimanchi
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  • Machine Learning Interviews : Kickstart Your Machine Learning Career - Susan Shu Chang
    Machine Learning Interviews
    Kickstart Your Machine Learning Career
    Susan Shu Chang
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  • Analytics Engineering with SQL and dbt : Building Meaningful Data Models at Scale - Rui Pedro Machado
    Analytics Engineering with SQL and dbt
    Building Meaningful Data Models at Scale
    Rui Pedro Machado and Helder Russa
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  • Causal Inference in Python : Applying Causal Inference in the Tech Industry - Matheus Facure
    Causal Inference in Python
    Applying Causal Inference in the Tech Industry
    Matheus Facure
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  • A Thousand Brains : A New Theory of Intelligence - Jeff Hawkins
    A Thousand Brains
    A New Theory of Intelligence
    Jeff Hawkins
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  • Learning Algorithms : A Programmer's Guide to Writing Better Code - George Heineman
    Learning Algorithms
    A Programmer's Guide to Writing Better Code
    George Heineman
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  • The Self-Service Data Roadmap : Democratize Data and Reduce Time to Insight - Sandeep Uttamchandani
    The Self-Service Data Roadmap
    Democratize Data and Reduce Time to Insight
    Sandeep Uttamchandani
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  • Advances in Deep Generative Models for Healthcare and Medical Applications - Balasubramaniam S
    Advances in Deep Generative Models for Healthcare and Medical Applications
    Balasubramaniam S and Seifedine Kadry
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  • An Introduction to Deep Reinforcement Learning - Vinod K. Mishra
    An Introduction to Deep Reinforcement Learning
    Vinod K. Mishra
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  • Intelligent Manufacturing : Concepts and Beyond - Uzair Khaleeq uz Zaman
    Intelligent Manufacturing
    Concepts and Beyond
    Uzair Khaleeq uz Zaman, Atal Anil Kumar and Aamer Ahmed Baqai
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  • Artificial Intelligence for Legal System : Jurisprudence in the Digital Age - Smita Gupta
    Artificial Intelligence for Legal System
    Jurisprudence in the Digital Age
    Smita Gupta
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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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  • Generative AI for Cybersecurity : Fundamentals, Applications, Risks, and Opportunities - Diep N. Nguyen
    Generative AI for Cybersecurity
    Fundamentals, Applications, Risks, and Opportun...
    Diep N. Nguyen, Ly Vu, Quang Uy Nguyen and Dinh Thai Hoang
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  • Transforming Cybersecurity with Machine Learning - Kutub Thakur
    Transforming Cybersecurity with Machine Learning
    Kutub Thakur and Al-Sakib Khan Pathan
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  • Multivariate Statistics and Machine Learning : An Introduction to Applied Data Science Using R and Python - Daniel J. Denis
    Multivariate Statistics and Machine Learning
    An Introduction to Applied Data Science Using R...
    Daniel J. Denis
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  • Innovations in Computer Vision, Communication Systems, and Computational Intelligence - Suman Lata Tripathi
    Innovations in Computer Vision, Communication Systems, and Computational Intelligence
    Suman Lata Tripathi, Om Prakash Kumar, Allwin Devaraj Stalin and Tanweer Ali
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  • Emerging Perspectives and Applications of Computational Intelligence and Smart Systems - Amit Lathigara
    Emerging Perspectives and Applications of Computational Intelligence and Smart Systems
    Amit Lathigara, Nirav Bhatt and Paresh Tanna
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  • Time Series Forecasting Using Foundation Models : How to build high accuracy predictive models - Marco Peixeiro
    Time Series Forecasting Using Foundation Models
    How to build high accuracy predictive models
    Marco Peixeiro
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  • Generative AI for Beginners : A Hands-On, No-Jargon Playbook: Prompts, Projects & Practical Workflows - Himanshoo Jaiswal
    Generative AI for Beginners
    A Hands-On, No-Jargon Playbook: Prompts, Projec...
    Himanshoo Jaiswal
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  • A Guide to AI, For Older Folks - Clay A. Kahler
    A Guide to AI, For Older Folks
    Clay A. Kahler and Amelia Voss
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  • Apple Intelligence for Masterminds - J.D Gauchat
    Apple Intelligence for Masterminds
    J.D Gauchat
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  • Kickstart Unsupervised Machine Learning : Master Unsupervised Machine Learning Through Pattern Discovery, Clustering, and Dimensionality Reduction to Build Intelligent, Real-World Applications (English Edition) - Dr. Nimrita Koul
    Kickstart Unsupervised Machine Learning
    Master Unsupervised Machine Learning Through Pa...
    Dr. Nimrita Koul
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  • Kickstart Unsupervised Machine Learning : Master Unsupervised Machine Learning Through Pattern Discovery, Clustering, and Dimensionality Reduction to Build Intelligent, Real-World Applications (English Edition) - Dr. Nimrita Koul
    Kickstart Unsupervised Machine Learning
    Master Unsupervised Machine Learning Through Pa...
    Dr. Nimrita Koul
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  • AI Scams Explained Simply - Avery Blackwell
    AI Scams Explained Simply
    Avery Blackwell
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  • AI in Financial Decision Making - Arif Ahmed
    AI in Financial Decision Making
    Arif Ahmed, Veena Hingarh and Arnaaz Ahmed
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  • AI and Data Engineering for Healthcare : Real-World Applications and Case Studies - Anjan Bandyopadhyay
    AI and Data Engineering for Healthcare
    Real-World Applications and Case Studies
    Anjan Bandyopadhyay, Tanvir Habib Sardar, Saurav Mallik, Ruhul Amin Hazarika and Mahendra Kumar Gourisaria
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  • Cognitive Fairness-Aware Techniques for Human-Machine Interface : Chapman & Hall/CRC Internet of Things - Vithya Ganesan
    Cognitive Fairness-Aware Techniques for Human-Machine Interface
    Chapman & Hall/CRC Internet of Things
    Vithya Ganesan, S. Indu Vadhani, Subrata Chowdhury, Souvik Pal and Vishnu S. Pendyala
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  • Applied Machine Learning in Healthcare : Case-Based Approach - Dattatray G. Takale
    Applied Machine Learning in Healthcare
    Case-Based Approach
    Dattatray G. Takale, Parikshit N Mahalle, Sachin S. Bere and Piyush P. Gawali
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  • AI OBSERVER: The Foundation : AI OBSERVER, #1 - K.ZEN-YU
    AI OBSERVER: The Foundation
    AI OBSERVER, #1
    K.ZEN-YU
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  • Artificial Intelligence and Human Rights, Democracy, and the Rule of Law : Computational Intelligence Techniques - Pushan Kumar Dutta
    Artificial Intelligence and Human Rights, Democracy, and the Rule of Law
    Computational Intelligence Techniques
    Pushan Kumar Dutta
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  • Digital Convergence : Better Solutions for People with Dementia - Nilmini Wickramasinghe
    Digital Convergence
    Better Solutions for People with Dementia
    Nilmini Wickramasinghe, Thu Ha Dang, Tuan Anh Nguyen and Sasan Adibi
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  • Why GPT-5 and Western AI Still Lead Despite the Kimmy K2 Hype - Kaelynn Vesper
    Why GPT-5 and Western AI Still Lead Despite the Kimmy K2 Hype
    Kaelynn Vesper
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  • Safer Agentic AI : Principles and Responsible Practices - Nell Watson
    Safer Agentic AI
    Principles and Responsible Practices
    Nell Watson and Ali Hessami
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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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  • Cybernetic Shield : Securing the Future of Machine Intelligence - Arun Kumar Singh
    Cybernetic Shield
    Securing the Future of Machine Intelligence
    Arun Kumar Singh, Sandeep Saxena and A.K. Haghi
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  • Principles of Gas Path Analysis - Allan J. Volponi
    Principles of Gas Path Analysis
    Allan J. Volponi and Liang Tang
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  • Security Intelligence in the Age of AI : Navigating Legal and Ethical Frameworks - Pushan Kumar Dutta
    Security Intelligence in the Age of AI
    Navigating Legal and Ethical Frameworks
    Pushan Kumar Dutta, Bhupinder Singh, Christian Kaunert and Annita Larissa Sciacovelli
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  • How Large Language Models Work - Edward Raff
    How Large Language Models Work
    Edward Raff, Drew Farris and Stella Biderman
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  • Next-Level A/B Testing : Repeatable, Rapid, and Flexible Product Experimentation - Leemay Nassery
    Next-Level A/B Testing
    Repeatable, Rapid, and Flexible Product Experim...
    Leemay Nassery
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  • MongoDB 8.0 in Action, Third Edition : Building on the Atlas Data Platform - Arek Borucki
    MongoDB 8.0 in Action, Third Edition
    Building on the Atlas Data Platform
    Arek Borucki
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  • Test Yourself on Sebastian Raschka's Build a Large Language Model (From Scratch) : 300+ practice problems to cement your learning - Curated from Build a Large Language Model (From Scratch)
    Test Yourself on Sebastian Raschka's Build a Large Language Model (From Scratch)
    300+ practice problems to cement your learning
    Curated from Build a Large Language Model (From Scratch)
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  • The AI Pocketbook - Emmanuel Maggiori
    The AI Pocketbook
    Emmanuel Maggiori
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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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  • Advanced Techniques for Optimal Sizing of Analog Integrated Circuits : Quantum Computing, Machine Learning, and Bio-inspired Optimization - Trang Hoang
    Advanced Techniques for Optimal Sizing of Analog Integrated Circuits
    Quantum Computing, Machine Learning, and Bio-in...
    Trang Hoang, Thinh Quang Do, Thang Quoc Nguyen, Hoang Trong Nguyen and Trung Q. Duong
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  • Surrogate Modeling and Optimization : Theories, Applications, and Limitations - Nam-Ho Kim
    Surrogate Modeling and Optimization
    Theories, Applications, and Limitations
    Nam-Ho Kim
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  • Tiny Machine Learning : Design Principles and Applications - Agbotiname Lucky Imoize
    Tiny Machine Learning
    Design Principles and Applications
    Agbotiname Lucky Imoize, Dinh-Thuan Do and Houbing Song
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  • Data-Driven Cybersecurity : Reducing risk with proven metrics - Mariano Mattei
    Data-Driven Cybersecurity
    Reducing risk with proven metrics
    Mariano Mattei
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  • AI ChatBots For Dummies - Kelly Noble Mirabella
    AI ChatBots For Dummies
    Kelly Noble Mirabella and Eric Butow
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  • AI and ML Techniques in IoT-based Communication : A Path to Sustainable Development Goals - Sumita Mishra
    AI and ML Techniques in IoT-based Communication
    A Path to Sustainable Development Goals
    Sumita Mishra, Nishu Gupta and Polat Goktas
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  • Multi-LLM Agent Collaborative Intelligence : The Path to Artificial General Intelligence - Edward Chang
    Multi-LLM Agent Collaborative Intelligence
    The Path to Artificial General Intelligence
    Edward Chang
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  • Introduction to Data Science Using R : second edition - Prema Alla
    Introduction to Data Science Using R
    second edition
    Prema Alla
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  • Deep Learning for Intrusion Detection : Techniques and Applications - Faheem Syeed Masoodi
    Deep Learning for Intrusion Detection
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    Faheem Syeed Masoodi and Alwi Bamhdi
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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
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    Jordi Vallverdú
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  • Active Learning : Synthesis Lectures on Artificial Intelligence and Machine Learning - Burr Settles
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    Burr Settles
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  • An Introduction to Constraint-Based Temporal Reasoning : Synthesis Lectures on Artificial Intelligence and Machine Learning - Robert A. Morris
    An Introduction to Constraint-Based Temporal Reasoning
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    Robert A. Morris, Roman Barták and K. Brent Venable
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  • Judgment Aggregation : A Primer - Gabriella Pigozzi
    Judgment Aggregation
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    Gabriella Pigozzi and Davide Grossi
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  • Robot Learning from Human Teachers : Synthesis Lectures on Artificial Intelligence and Machine Learning - Sonia Chernova
    Robot Learning from Human Teachers
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    Sonia Chernova and Andrea L. Thomaz
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  • Statistical Relational Artificial Intelligence : Logic, Probability, and Computation - Kristian Kersting
    Statistical Relational Artificial Intelligence
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    Kristian Kersting, Luc De Raedt, Sriraam Natarajan and David Poole
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  • A Guide to Convolutional Neural Networks for Computer Vision : Synthesis Lectures on Computer Vision - Salman Khan
    A Guide to Convolutional Neural Networks for Computer Vision
    Synthesis Lectures on Computer Vision
    Salman Khan, Hossein Rahmani, Syed Afaq Ali Shah, Mohammed Bennamoun and Sven Dickinson
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  • Adversarial Machine Learning : Synthesis Lectures on Artificial Intelligence and Machine Learning - Yevgeniy Vorobeychik
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    Yevgeniy Vorobeychik, Murat Kantarcioglu, Ronald Brachman, Peter Stone and Francesca Rossi
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  • Lifelong Machine Learning : Second Edition - Zhiyuan Chen
    Lifelong Machine Learning
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    Zhiyuan Chen, Bing Liu, Ronald Brachman, Peter Stone and Francesca Rossi
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  • Data Mining and Predictive Analysis : Intelligence Gathering and Crime Analysis - Colleen McCue
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    Colleen McCue
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  • Data Mining : Practical Machine Learning Tools and Techniques, Second Edition - Eibe Frank
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    Eibe Frank and Ian H. Witten
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    Eibe Frank, Mark A. Hall and Ian H. Witten
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  • Artificial Intelligence : A New Synthesis - Nils J. Nilsson
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  • The Sciences of the Artificial, third edition : The MIT Press - Herbert A. Simon
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    Herbert A. Simon
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