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Books > Non-Fiction > Computing & I.T. > Computer Science > Artificial Intelligence > Machine Learning
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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
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    Pei-Luen Patrick Rau
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  • Cyber Security Meets Machine Learning : Computer Science (R0) - Author
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  • Social, Cultural, and Behavioral Modeling : 14th International Conference, SBP-BRiMS 2021, Virtual Event, July 6-9, 2021, Proceedings - Author
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  • Deep Learning for Physics Research - Martin Erdmann
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    Martin Erdmann, Jonas Glombitza, Gregor Kasieczka and Uwe Klemradt
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  • Deep Learning in Computational Mechanics : An Introductory Course - Stefan Kollmannsberger
    Deep Learning in Computational Mechanics
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    Stefan Kollmannsberger, Davide D'Angella, Moritz Jokeit and Leon Herrmann
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  • Computational Reconstruction of Missing Data in Biological Research : Springer Theses - Feng Bao
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    Feng Bao
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  • Advances in Machine Learning/Deep Learning-based Technologies : Selected Papers in Honour of Professor Nikolaos G. Bourbakis - Vol. 2 - George A. Tsihrintzis
    Advances in Machine Learning/Deep Learning-based Technologies
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    George A. Tsihrintzis, Maria Virvou and Lakhmi C. Jain
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  • Chinese Computational Linguistics : 20th China National Conference, CCL 2021, Hohhot, China, August 13-15, 2021, Proceedings - Sheng Li
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    Sheng Li, Maosong Sun, Yang Liu, Hua Wu and Gaoqi Rao
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  • Intelligent Computing Theories and Application : 17th International Conference, ICIC 2021, Shenzhen, China, August 12-15, 2021, Proceedings, Part I - De-Shuang Huang
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    De-Shuang Huang, Kang-Hyun Jo, Jianqiang Li, Valeriya Gribova and Vitoantonio Bevilacqua
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  • Intelligent Computing Theories and Application : 17th International Conference, ICIC 2021, Shenzhen, China, August 12-15, 2021, Proceedings, Part II - Author
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  • AI and Machine Learning for On-Device Development : A Programmer's Guide - Laurence Moroney
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    Laurence Moroney
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  • Decision Economics : Minds, Machines, and their Society - Author
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  • Deep Learning-Based Face Analytics : Advances in Computer Vision and Pattern Recognition - Author
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  • Data Science at the Command Line : Obtain, Scrub, Explore, and Model Data with Unix Power Tools - Jeroen Janssens
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    Jeroen Janssens
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  • Cognitive Robotics : Intelligent Robotics and Autonomous Agents series - Angelo Cangelosi and Minoru Asada
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    Angelo Cangelosi and Minoru Asada
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  • Deep Learning and Practice with MindSpore : Cognitive Intelligence and Robotics - Lei Chen
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    Lei Chen
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  • Data Science : Theory, Algorithms, and Applications - Gyanendra K. Verma
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    Gyanendra K. Verma, Badal Soni, Salah Bourennane and Alexandre C. B. Ramos
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  • Machine Learning : Computer Science (R0) - Zhi-Hua Zhou
    Machine Learning
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    Zhi-Hua Zhou
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  • Medical Image Understanding and Analysis : 25th Annual Conference, MIUA 2021, Oxford, United Kingdom, July 12-14, 2021, Proceedings - Bart?omiej W. Papie?
    Medical Image Understanding and Analysis
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    Bart?omiej W. Papie?, Mohammad Yaqub, Jianbo Jiao, Ana I. L. Namburete and J. Alison Noble
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  • Advances in Artificial Intelligence, Software and Systems Engineering : Proceedings of the AHFE 2021 Virtual Conferences on Human Factors in Software and Systems Engineering, Artificial Intelligence and Social Computing, and Energy, July 25-29, 2021, USA - Author
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  • Computer-Aided Analysis of Gastrointestinal Videos : Computer Science (R0) - Author
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  • Android Malware Detection using Machine Learning : Data-Driven Fingerprinting and Threat Intelligence - ElMouatez Billah Karbab
    Android Malware Detection using Machine Learning
    Data-Driven Fingerprinting and Threat Intelligence
    ElMouatez Billah Karbab, Mourad Debbabi, Abdelouahid Derhab and Djedjiga Mouheb
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  • Human-in-the-Loop Machine Learning : Active learning and annotation for human-centered AI - Robert (Munro) Monarch
    Human-in-the-Loop Machine Learning
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    Robert (Munro) Monarch
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  • Big Data Transportation Systems - Guanghui Zhao
    Big Data Transportation Systems
    Guanghui Zhao and Gusheng Zhu
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  • Metaheuristics in Machine Learning : Theory and Applications - Author
    Metaheuristics in Machine Learning
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  • Graph Data Mining : Algorithm, Security and Application - Author
    Graph Data Mining
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  • Generating a New Reality : From Autoencoders and Adversarial Networks to Deepfakes - Micheal Lanham
    Generating a New Reality
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    Micheal Lanham
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  • Explainable and Transparent AI and Multi-Agent Systems : Third International Workshop, EXTRAAMAS 2021, Virtual Event, May 3-7, 2021, Revised Selected Papers - Davide Calvaresi
    Explainable and Transparent AI and Multi-Agent Systems
    Third International Workshop, EXTRAAMAS 2021, V...
    Davide Calvaresi, Amro Najjar, Michael Winikoff and Kary Främling
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  • Artificial Intelligence : A Textbook - Charu C. Aggarwal
    Artificial Intelligence
    A Textbook
    Charu C. Aggarwal
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  • TensorFlow 2 Pocket Reference : Building and Deploying Machine Learning Models - KC Tung
    TensorFlow 2 Pocket Reference
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    KC Tung
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  • Artificial Intelligence and Sustainable Computing : Proceedings of ICSISCET 2020 - Author
    Artificial Intelligence and Sustainable Computing
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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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  • Practical Machine Learning for Computer Vision : End-to-End Machine Learning for Images - Valliappa Lakshmanan
    Practical Machine Learning for Computer Vision
    End-to-End Machine Learning for Images
    Valliappa Lakshmanan, Martin Görner and Ryan Gillard
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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 - Author
    Advanced Deep Learning for Engineers and Scientists
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  • Applications of Artificial Intelligence and Machine Learning : Select Proceedings of ICAAAIML 2020 - Author
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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
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    Santanu Ganguly
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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
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    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
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    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
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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) - Author
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  • Synthetic Data for Deep Learning : Springer Optimization and Its Applications : Book 174 - Sergey I. Nikolenko
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  • The Art of Machine Learning : A Hands-On Guide to Machine Learning with R - Norman Matloff
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  • The Calabi-Yau Landscape : From Geometry, to Physics, to Machine Learning - Yang-Hui He
    The Calabi-Yau Landscape
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    Yang-Hui He
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  • Transfer Learning for Natural Language Processing - Paul Azunre
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  • AI-Enabled Threat Detection and Security Analysis for Industrial IoT - Hadis Karimipour
    AI-Enabled Threat Detection and Security Analysis for Industrial IoT
    Hadis Karimipour and Farnaz Derakhshan
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  • Statistical Learning with Math and Python : 100 Exercises for Building Logic - Joe Suzuki
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  • Introduction to Statistical and Machine Learning Methods for Data Science - Carlos Andre Reis Pinheiro
    Introduction to Statistical and Machine Learning Methods for Data Science
    Carlos Andre Reis Pinheiro and Mike Patetta
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  • Reservoir Computing : Theory, Physical Implementations, and Applications - Kohei Nakajima
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    Kohei Nakajima and Ingo Fischer
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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
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    Varun Bajaj and Irshad Ahmad Ansari
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  • Proceedings of International Conference on Scientific and Natural Computing : Proceedings of SNC 2021 - Author
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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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  • Math for Deep Learning : What You Need to Know to Understand Neural Networks - Ronald T. Kneusel
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  • Advances in Distributed Computing and Machine Learning : Proceedings of ICADCML 2020 - Asis Kumar Tripathy
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    Asis Kumar Tripathy, Mahasweta Sarkar, Jyoti Prakash Sahoo, Kuan-Ching Li and Suchismita Chinara
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  • The Art of Feature Engineering : Essentials for Machine Learning - Pablo Duboue
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  • Deep Learning for Computer Vision with SAS : An Introduction - Robert Blanchard
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  • Practical Natural Language Processing : A Comprehensive Guide to Building Real-World NLP Systems - Sowmya  Vajjala
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  • Deep Learning for Medical Decision Support Systems : Intelligent Technologies and Robotics (R0) - Utku Kose
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