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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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  • High Performance Computing for Intelligent Medical Systems : IOP Series in Next Generation Computing - Varun Bajaj
    High Performance Computing for Intelligent Medical Systems
    IOP Series in Next Generation Computing
    Varun Bajaj and Irshad Ahmad Ansari
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  • Deep Learning for Chest Radiographs : Computer-Aided Classification - Yashvi Chandola
    Deep Learning for Chest Radiographs
    Computer-Aided Classification
    Yashvi Chandola, Jitendra Virmani, H.S Bhadauria and Papendra Kumar
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  • Privacy-Preserving Deep Learning : A Comprehensive Survey - Kwangjo Kim
    Privacy-Preserving Deep Learning
    A Comprehensive Survey
    Kwangjo Kim and Harry Chandra Tanuwidjaja
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  • Machine Learning in Industry : Management and Industrial Engineering - Author
    Machine Learning in Industry
    Management and Industrial Engineering
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  • Advanced Deep Learning for Engineers and Scientists : A Practical Approach - Kolla Bhanu Prakash
    Advanced Deep Learning for Engineers and Scientists
    A Practical Approach
    Kolla Bhanu Prakash, Ramani Kannan, S.Albert Alexander and G. R. Kanagachidambaresan
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  • Applications of Artificial Intelligence and Machine Learning : Select Proceedings of ICAAAIML 2020 - Author
    Applications of Artificial Intelligence and Machine Learning
    Select Proceedings of ICAAAIML 2020
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  • Quantum Machine Learning: An Applied Approach : The Theory and Application of Quantum Machine Learning in Science and Industry - Santanu Ganguly
    Quantum Machine Learning: An Applied Approach
    The Theory and Application of Quantum Machine L...
    Santanu Ganguly
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  • Handbook of Big Geospatial Data : Mathematics and Statistics (R0) - Martin Werner
    Handbook of Big Geospatial Data
    Mathematics and Statistics (R0)
    Martin Werner and Yao-Yi Chiang
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  • Learning TensorFlow.js - Gant Laborde
    Learning TensorFlow.js
    Gant Laborde
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  • Variational Methods for Machine Learning with Applications to Deep Networks : Engineering (R0) - Lucas Pinheiro Cinelli
    Variational Methods for Machine Learning with Applications to Deep Networks
    Engineering (R0)
    Lucas Pinheiro Cinelli, Matheus Araújo Marins, Eduardo Antônio Barros da Silva and Sérgio Lima Netto
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  • PyTorch Pocket Reference - Joe Papa
    PyTorch Pocket Reference
    Joe Papa
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  • Computational Intelligence in Healthcare : Health Information Science - Amit Kumar Manocha
    Computational Intelligence in Healthcare
    Health Information Science
    Amit Kumar Manocha, Shruti Jain, Mandeep Singh and Sudip Paul
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  • Applied Natural Language Processing in the Enterprise - Ankur A. Patel
    Applied Natural Language Processing in the Enterprise
    Ankur A. Patel and Ajay Uppili Arasanipalai
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  • Probabilistic Machine Learning : An Introduction - Kevin P. Murphy
    Probabilistic Machine Learning
    An Introduction
    Kevin P. Murphy
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  • Explainable AI with Python : Computer Science (R0) - Leonida Gianfagna
    Explainable AI with Python
    Computer Science (R0)
    Leonida Gianfagna and Antonio Di Cecco
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  • Introduction to Machine Learning in the Cloud with Python : Concepts and Practices - Pramod Gupta
    Introduction to Machine Learning in the Cloud with Python
    Concepts and Practices
    Pramod Gupta and Naresh K. Sehgal
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  • Machine Learning Approaches for Urban Computing : Intelligent Technologies and Robotics (R0) - Mainak Bandyopadhyay
    Machine Learning Approaches for Urban Computing
    Intelligent Technologies and Robotics (R0)
    Mainak Bandyopadhyay, Minakhi Rout and Suresh Chandra Satapathy
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  • Spectroscopy and Machine Learning for Water Quality Analysis : IOP Series in Spectroscopic Methods and Applications - Ashutosh Kumar Shukla
    Spectroscopy and Machine Learning for Water Quality Analysis
    IOP Series in Spectroscopic Methods and Applica...
    Ashutosh Kumar Shukla
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  • The Essentials of Machine Learning in Finance and Accounting : Routledge Advanced Texts in Economics and Finance - Mohammad Zoynul Abedin
    The Essentials of Machine Learning in Finance and Accounting
    Routledge Advanced Texts in Economics and Finance
    Mohammad Zoynul Abedin
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  • Dancing With Robots : The 29 Strategies for Success In the Age of AI and Automation - Bill Bishop
    Dancing With Robots
    The 29 Strategies for Success In the Age of AI ...
    Bill Bishop
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  • Advances in Artificial Intelligence and Security : 7th International Conference, ICAIS 2021, Dublin, Ireland, July 19-23, 2021, Proceedings, Part I - Xingming Sun
    Advances in Artificial Intelligence and Security
    7th International Conference, ICAIS 2021, Dubli...
    Xingming Sun, Xiaorui Zhang, Zhihua Xia and Elisa Bertino
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  • Artificial Intelligence in HCI : Second International Conference, AI-HCI 2021, Held as Part of the 23rd HCI International Conference, HCII 2021, Virtual Event, July 24-29, 2021, Proceedings - Author
    Artificial Intelligence in HCI
    Second International Conference, AI-HCI 2021, H...
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  • Advanced Forecasting with Python : With State-of-the-Art-Models Including LSTMs, Facebook's Prophet, and Amazon's DeepAR - Joos Korstanje
    Advanced Forecasting with Python
    With State-of-the-Art-Models Including LSTMs, F...
    Joos Korstanje
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  • Cross-Cultural Design. Applications in Cultural Heritage, Tourism, Autonomous Vehicles, and Intelligent Agents : 13th International Conference, CCD 2021, Held as Part of the 23rd HCI International Conference, HCII 2021, Virtual Event, July 24-29, 2021, Proceedings, Part III - Pei-Luen Patrick Rau
    Cross-Cultural Design. Applications in Cultural Heritage, Tourism, Autonomous Vehicles, and Intelligent Agents
    13th International Conference, CCD 2021, Held a...
    Pei-Luen Patrick Rau
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  • Cyber Security Meets Machine Learning : Computer Science (R0) - Author
    Cyber Security Meets Machine Learning
    Computer Science (R0)
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  • Social, Cultural, and Behavioral Modeling : 14th International Conference, SBP-BRiMS 2021, Virtual Event, July 6-9, 2021, Proceedings - Robert Thomson
    Social, Cultural, and Behavioral Modeling
    14th International Conference, SBP-BRiMS 2021, ...
    Robert Thomson, Muhammad Nihal Hussain, Christopher Dancy and Aryn Pyke
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  • Deep Learning for Physics Research - Martin Erdmann
    Deep Learning for Physics Research
    Martin Erdmann, Jonas Glombitza, Gregor Kasieczka and Uwe Klemradt
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  • Text Data Mining : Computer Science (R0) - Chengqing Zong
    Text Data Mining
    Computer Science (R0)
    Chengqing Zong, Rui Xia and Jiajun Zhang
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  • Event Mining for Explanatory Modeling : ACM Books - Laleh Jalali
    Event Mining for Explanatory Modeling
    ACM Books
    Laleh Jalali and Ramesh Jain
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  • Implementing Machine Learning for Finance : A Systematic Approach to Predictive Risk and Performance Analysis for Investment Portfolios - Tshepo Chris Nokeri
    Implementing Machine Learning for Finance
    A Systematic Approach to Predictive Risk and Pe...
    Tshepo Chris Nokeri
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  • Black Box Optimization, Machine Learning, and No-Free Lunch Theorems : Mathematics and Statistics (R0) - Panos M. Pardalos
    Black Box Optimization, Machine Learning, and No-Free Lunch Theorems
    Mathematics and Statistics (R0)
    Panos M. Pardalos, Varvara Rasskazova and Michael N. Vrahatis
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  • Enabling Machine Learning Applications in Data Science : Proceedings of Arab Conference for Emerging Technologies 2020 - Author
    Enabling Machine Learning Applications in Data Science
    Proceedings of Arab Conference for Emerging Tec...
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  • Intelligent Systems in Big Data, Semantic Web and Machine Learning : Advances in Intelligent Systems and Computing : Book 1344 - Noreddine Gherabi
    Intelligent Systems in Big Data, Semantic Web and Machine Learning
    Advances in Intelligent Systems and Computing :...
    Noreddine Gherabi and Janusz Kacprzyk
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  • Advanced Machine Learning Approaches in Cancer Prognosis : Challenges and Applications - Author
    Advanced Machine Learning Approaches in Cancer Prognosis
    Challenges and Applications
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  • Fighting Churn with Data : The science and strategy of customer retention - Carl Gold
    Fighting Churn with Data
    The science and strategy of customer retention
    Carl Gold
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  • Machine Learning with TensorFlow, Second Edition - Chris Mattmann
    Machine Learning with TensorFlow, Second Edition
    Chris Mattmann
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  • Classic Computer Science Problems in Java - David Kopec
    Classic Computer Science Problems in Java
    David Kopec
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  • Deep Learning with Structured Data - Mark Ryan
    Deep Learning with Structured Data
    Mark Ryan
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  • Machine Learning, Big Data, and IoT for Medical Informatics : Intelligent Data-Centric Systems - Pardeep Kumar
    Machine Learning, Big Data, and IoT for Medical Informatics
    Intelligent Data-Centric Systems
    Fatos Xhafa, Pardeep Kumar, Yugal Kumar and Mohamed A. Tawhid
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  • Functional Imaging and Modeling of the Heart : 11th International Conference, FIMH 2021, Stanford, CA, USA, June 21-25, 2021, Proceedings - Author
    Functional Imaging and Modeling of the Heart
    11th International Conference, FIMH 2021, Stanf...
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  • Machine Learning in Elite Volleyball : Integrating Performance Analysis, Competition and Training Strategies - Rabiu Muazu Musa
    Machine Learning in Elite Volleyball
    Integrating Performance Analysis, Competition a...
    Rabiu Muazu Musa, Anwar P. P. Abdul Majeed, Muhammad Zuhaili Suhaimi, Mohd Azraai Mohd Razman and Moham
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  • Natural Language Processing and Information Systems : 26th International Conference on Applications of Natural Language to Information Systems, NLDB 2021, Saarbrucken, Germany, June 23-25, 2021, Proceedings - Elisabeth Métais
    Natural Language Processing and Information Systems
    26th International Conference on Applications o...
    Elisabeth Métais, Farid Meziane, Helmut Horacek and Epaminondas Kapetanios
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  • Python and R for the Modern Data Scientist - Rick J. Scavetta
    Python and R for the Modern Data Scientist
    Rick J. Scavetta and Boyan Angelov
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  • An Intuitive Exploration of Artificial Intelligence : Theory and Applications of Deep Learning - Simant Dube
    An Intuitive Exploration of Artificial Intelligence
    Theory and Applications of Deep Learning
    Simant Dube
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  • Handbook of Reinforcement Learning and Control : Intelligent Technologies and Robotics (R0) - Kyriakos G. Vamvoudakis
    Handbook of Reinforcement Learning and Control
    Intelligent Technologies and Robotics (R0)
    Kyriakos G. Vamvoudakis, Yan Wan, Frank L. Lewis and Derya Cansever
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  • Elements of Deep Learning for Computer Vision : Explore Deep Neural Network Architectures, PyTorch, Object Detection Algorithms, and Computer Vision Applications for Python Coders (English Edition) - Bharat Sikka
    Elements of Deep Learning for Computer Vision
    Explore Deep Neural Network Architectures, PyTo...
    Bharat Sikka
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  • Digital Interaction and Machine Intelligence : Proceedings of MIDI'2020 - 8th Machine Intelligence and Digital Interaction Conference, December 9-10, 2020, Warsaw, Poland (online) - Cezary Biele
    Digital Interaction and Machine Intelligence
    Proceedings of MIDI'2020 - 8th Machine Intellig...
    Cezary Biele, Janusz Kacprzyk, Jan W. Owsi?ski, Andrzej Romanowski and Marcin Sikorski
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  • Synthetic Data for Deep Learning : Springer Optimization and Its Applications : Book 174 - Sergey I. Nikolenko
    Synthetic Data for Deep Learning
    Springer Optimization and Its Applications : Bo...
    Sergey I. Nikolenko
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  • Business Intelligence : 6th International Conference, CBI 2021, Beni Mellal, Morocco, May 27-29, 2021, Proceedings - Mohamed Fakir
    Business Intelligence
    6th International Conference, CBI 2021, Beni Me...
    Mohamed Fakir, Mohamed Baslam and Rachid El Ayachi
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  • Discrete Geometry and Mathematical Morphology : First International Joint Conference, DGMM 2021, Uppsala, Sweden, May 24-27, 2021, Proceedings - Joakim Lindblad
    Discrete Geometry and Mathematical Morphology
    First International Joint Conference, DGMM 2021...
    Joakim Lindblad, Filip Malmberg and Nataša Sladoje
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  • Think Bayes - Allen B. Downey
    Think Bayes
    Allen B. Downey
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  • Transactional Machine Learning with Data Streams and AutoML : Build Frictionless and Elastic Machine Learning Solutions with Apache Kafka in the Cloud Using Python - Sebastian Maurice
    Transactional Machine Learning with Data Streams and AutoML
    Build Frictionless and Elastic Machine Learning...
    Sebastian Maurice
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  • Restless Multi-Armed Bandit in Opportunistic Scheduling : Engineering (R0) - Kehao Wang
    Restless Multi-Armed Bandit in Opportunistic Scheduling
    Engineering (R0)
    Kehao Wang and Lin Chen
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  • Inventive Systems and Control : Proceedings of ICISC 2021 - V. Suma
    Inventive Systems and Control
    Proceedings of ICISC 2021
    V. Suma, Joy Iong-Zong Chen, Zubair Baig and Haoxiang Wang
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  • Federated Learning Systems : Towards Next-Generation AI - Muhammad Habib ur Rehman
    Federated Learning Systems
    Towards Next-Generation AI
    Muhammad Habib ur Rehman and Mohamed Medhat Gaber
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  • Machine Learning for Oracle Database Professionals : Deploying Model-Driven Applications and Automation Pipelines - Heli Helskyaho
    Machine Learning for Oracle Database Professionals
    Deploying Model-Driven Applications and Automat...
    Heli Helskyaho, Jean Yu and Kai Yu
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  • Machine Learning Technologies and Applications : Proceedings of ICACECS 2020 - C. Kiran Mai
    Machine Learning Technologies and Applications
    Proceedings of ICACECS 2020
    C. Kiran Mai, A. Brahmananda Reddy and K. Srujan Raju
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  • Practical Smoothing : The Joys of P-splines - Paul H.C. Eilers
    Practical Smoothing
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    Paul H.C. Eilers and Brian D. Marx
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  • Pattern Recognition : 42nd DAGM German Conference, DAGM GCPR 2020, Tubingen, Germany, September 28 - October 1, 2020, Proceedings - Zeynep Akata
    Pattern Recognition
    42nd DAGM German Conference, DAGM GCPR 2020, Tu...
    Zeynep Akata, Andreas Geiger and Torsten Sattler
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  • Cognitive Computing Using Green Technologies : Modeling Techniques and Applications - Asis Kumar Tripathy
    Cognitive Computing Using Green Technologies
    Modeling Techniques and Applications
    Asis Kumar Tripathy, Chiranji Lal Chowdhary, Mahasweta Sarkar and Sanjaya Kumar Panda
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  • Proceedings of International Conference on Scientific and Natural Computing : Proceedings of SNC 2021 - Author
    Proceedings of International Conference on Scientific and Natural Computing
    Proceedings of SNC 2021
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  • Machine Intelligence and Data Analytics for Sustainable Future Smart Cities : Studies in Computational Intelligence : Book 971 - Uttam Ghosh
    Machine Intelligence and Data Analytics for Sustainable Future Smart Cities
    Studies in Computational Intelligence : Book 971
    Uttam Ghosh, Yassine Maleh, Mamoun Alazab and Al-Sakib Khan Pathan
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  • Automation and Collaborative Robotics : A Guide to the Future of Work - Peter Matthews
    Automation and Collaborative Robotics
    A Guide to the Future of Work
    Peter Matthews and Steven Greenspan
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  • Analog IC Placement Generation via Neural Networks from Unlabeled Data : Computer Science (R0) - António Gusmão
    Analog IC Placement Generation via Neural Networks from Unlabeled Data
    Computer Science (R0)
    António Gusmão, Nuno Horta, Nuno Lourenço and Ricardo Martins
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  • Medical Image Understanding and Analysis : 24th Annual Conference, MIUA 2020, Oxford, UK, July 15-17, 2020, Proceedings - Mohammad Yaqub
    Medical Image Understanding and Analysis
    24th Annual Conference, MIUA 2020, Oxford, UK, ...
    Mohammad Yaqub, Ana I. L. Namburete and Bartlomiej Papiez
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  • Advances in Artificial Intelligence, Software and Systems Engineering : Proceedings of the AHFE 2020 Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing, July 16-20, 2020, USA - Tareq Ahram
    Advances in Artificial Intelligence, Software and Systems Engineering
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    Tareq Ahram
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  • Embracing Industry 4.0 : Selected Articles from MUCET 2019 - Mohd Azraai Mohd Razman
    Embracing Industry 4.0
    Selected Articles from MUCET 2019
    Mohd Azraai Mohd Razman, Jessnor Arif Mat Jizat and Nafrizuan Mat Yahya
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  • Big Data, IoT, and Machine Learning : Tools and Applications - Neha Gupta
    Big Data, IoT, and Machine Learning
    Tools and Applications
    Neha Gupta, Marcin Paprzycki and Rashmi Agrawal
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  • Signals and Boundaries : Building Blocks for Complex Adaptive Systems - John H. Holland
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    John H. Holland
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  • Decision Economics : Complexity of Decisions and Decisions for Complexity - Edgardo Bucciarelli
    Decision Economics
    Complexity of Decisions and Decisions for Compl...
    Edgardo Bucciarelli, ShuHeng Chen and Juan Manuel Corchado
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