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Books > Non-Fiction > Computing & I.T. > Computer Science > Artificial Intelligence > Machine Learning
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  • Machine Learning Paradigms : Applications of Learning and Analytics in Intelligent Systems - Author
    Machine Learning Paradigms
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  • Learn PySpark : Build Python-based Machine Learning and Deep Learning Models - Pramod Singh
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    Pramod Singh
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  • Building an Enterprise Chatbot : Work with Protected Enterprise Data Using Open Source Frameworks - Abhishek Singh
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    Abhishek Singh, Karthik Ramasubramanian and Shrey Shivam
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  • Building Microservices Applications on Microsoft Azure : Designing, Developing, Deploying, and Monitoring - Harsh Chawla
    Building Microservices Applications on Microsoft Azure
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    Harsh Chawla and Hemant Kathuria
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  • Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries : 4th International Workshop, BrainLes 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers, Part II - Alessandro Crimi
    Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries
    4th International Workshop, BrainLes 2018, Held...
    Alessandro Crimi, Spyridon Bakas, Hugo Kuijf, Farahani Keyvan and Theo van Walsum
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  • Theoretical Aspects of Computing - ICTAC 2019 : 16th International Colloquium, Hammamet, Tunisia, October 31 - November 4, 2019, Proceedings - Robert Mark Hierons
    Theoretical Aspects of Computing - ICTAC 2019
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    Robert Mark Hierons and Mohamed Mosbah
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  • Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries : 4th International Workshop, BrainLes 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers, Part I - Alessandro Crimi
    Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries
    4th International Workshop, BrainLes 2018, Held...
    Alessandro Crimi, Spyridon Bakas, Hugo Kuijf, Farahani Keyvan and Theo van Walsum
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  • Fundamentals of Image Data Mining : Analysis, Features, Classification and Retrieval - Dengsheng Zhang
    Fundamentals of Image Data Mining
    Analysis, Features, Classification and Retrieval
    Dengsheng Zhang
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  • Advances in Quantitative Ethnography : First International Conference, ICQE 2019, Madison, WI, USA, October 20-22, 2019, Proceedings - Author
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  • Human Mental Workload: Models and Applications : Third International Symposium, H-WORKLOAD 2019, Rome, Italy, November 14-15, 2019, Proceedings - Luca Longo
    Human Mental Workload: Models and Applications
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    Luca Longo and Maria Chiara Leva
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  • Optimization in Machine Learning and Applications : Algorithms for Intelligent Systems - Author
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  • Pattern Recognition Applications and Methods : 7th International Conference, ICPRAM 2018, Funchal, Madeira, Portugal, January 16-18, 2018, Revised Selected Papers - Maria De Marsico
    Pattern Recognition Applications and Methods
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    Maria De Marsico, Gabriella Sanniti di Baja and Ana Fred
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  • Smart Health : International Conference, ICSH 2019, Shenzhen, China, July 1-2, 2019, Proceedings - Hsinchun Chen
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    Hsinchun Chen, Daniel Zeng, Xiangbin Yan and Chunxiao Xing
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  • NII Testbeds and Community for Information Access Research : 14th International Conference, NTCIR 2019, Tokyo, Japan, June 10-13, 2019, Revised Selected Papers - Author
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  • Information, Communication and Computing Technology : 4th International Conference, ICICCT 2019, New Delhi, India, May 11, 2019, Revised Selected Papers - Abdullah Bin Gani
    Information, Communication and Computing Technology
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    Abdullah Bin Gani, Pradip Kumar Das, Latika Kharb and Deepak Chahal
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  • Azure Internet of Things Revealed : Architecture and Fundamentals - Robert Stackowiak
    Azure Internet of Things Revealed
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    Robert Stackowiak
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  • Hands-On Generative Adversarial Networks with PyTorch 1.x : Implement next-generation neural networks to build powerful GAN models using Python - John Hany
    Hands-On Generative Adversarial Networks with PyTorch 1.x
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    John Hany and Greg Walters
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  • Neural Networks and Deep Learning : A Textbook - Charu C. Aggarwal
    Neural Networks and Deep Learning
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    Charu C. Aggarwal
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  • Brain Computations and Connectivity - Edmund T. Rolls
    Brain Computations and Connectivity
    Edmund T. Rolls
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  • Machine Learning and Deep Learning With Python : Use Python Jupyter To Implement Mathematical Concepts, Machine Learning Algorithms and Deep Learning Neural Networks - James Chen
    Machine Learning and Deep Learning With Python
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    James Chen
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  • Spatial Socio-econometric Modeling (SSEM) : A Low-Code Toolkit for Spatial Data Science and Interactive Visualizations Using R - Manuel S. González Canché
    Spatial Socio-econometric Modeling (SSEM)
    A Low-Code Toolkit for Spatial Data Science and...
    Manuel S. González Canché
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  • Automated Analysis of the Oximetry Signal to Simplify the Diagnosis of Pediatric Sleep Apnea : From Feature-Engineering to Deep-Learning Approaches - Fernando Vaquerizo Villar
    Automated Analysis of the Oximetry Signal to Simplify the Diagnosis of Pediatric Sleep Apnea
    From Feature-Engineering to Deep-Learning Appro...
    Fernando Vaquerizo Villar
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  • A Primer on Generative Adversarial Networks : Computer Science (R0) - Sanaa Kaddoura
    A Primer on Generative Adversarial Networks
    Computer Science (R0)
    Sanaa Kaddoura
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  • The Edge Data Center : Building the Connected Future - Hugh Taylor
    The Edge Data Center
    Building the Connected Future
    Hugh Taylor
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  • High Performance Computing in Clouds : Moving HPC Applications to a Scalable and Cost-Effective Environment - Edson Borin
    High Performance Computing in Clouds
    Moving HPC Applications to a Scalable and Cost-...
    Edson Borin, Lúcia Maria A. Drummond, Jean-Luc Gaudiot, Alba Melo and Philippe Olivier Alexandre Navaux
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  • AI-ML for Decision and Risk Analysis : Challenges and Opportunities for Normative Decision Theory - Louis Anthony Cox Jr.
    AI-ML for Decision and Risk Analysis
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    Louis Anthony Cox Jr.
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  • HBR's 10 Must Reads on AI (with bonus article
    HBR's 10 Must Reads on AI (with bonus article "How to Win with Machine Learning" by Ajay Agrawal, Joshua Gans, and Avi Goldfarb)
    HBR's 10 Must Reads
    Harvard Business Review, Thomas H. Davenport, Marco Iansiti, Tsedal Neeley and Ajay Agrawal
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  • Data Analysis in Medicine and Health using R : Analytics and AI for Healthcare - Kamarul Imran Musa
    Data Analysis in Medicine and Health using R
    Analytics and AI for Healthcare
    Kamarul Imran Musa, Wan Nor Arifin Wan Mansor and Tengku Muhammad Hanis
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  • Learning PyTorch 2.0 - Matthew Rosch
    Learning PyTorch 2.0
    Matthew Rosch
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  • Advances in Swarm Intelligence : 14th International Conference, ICSI 2023, Shenzhen, China, July 14-18, 2023, Proceedings, Part II - Ying Tan
    Advances in Swarm Intelligence
    14th International Conference, ICSI 2023, Shenz...
    Ying Tan, Yuhui Shi and Wenjian Luo
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  • Advances in Swarm Intelligence : 14th International Conference, ICSI 2023, Shenzhen, China, July 14-18, 2023, Proceedings, Part I - Ying Tan
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    Ying Tan, Yuhui Shi and Wenjian Luo
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  • Deep Learning Applications in Image Analysis : Intelligent Technologies and Robotics (R0) - Sanjiban Sekhar Roy
    Deep Learning Applications in Image Analysis
    Intelligent Technologies and Robotics (R0)
    Sanjiban Sekhar Roy, Ching-Hsien Hsu and Venkateshwara Kagita
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  • Communication and Intelligent Systems : Proceedings of ICCIS 2022, Volume 2 - Harish Sharma
    Communication and Intelligent Systems
    Proceedings of ICCIS 2022, Volume 2
    Harish Sharma, Vivek Shrivastava, Kusum Kumari Bharti and Lipo Wang
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  • Business Intelligence : 8th International Conference, CBI 2023, Istanbul, Turkey, July 19-21, 2023, Proceedings - Rachid El Ayachi
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    Rachid El Ayachi, Mohamed Fakir and Mohamed Baslam
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  • Efficient Execution of Irregular Dataflow Graphs : Hardware/Software Co-optimization for Probabilistic AI and Sparse Linear Algebra - Nimish Shah
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    Nimish Shah, Wannes Meert and Marian Verhelst
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  • NLP Application : Natural Language Questions and SQL using Computational Linguistics - Ftoon Kedwan
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    Ftoon Kedwan
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  • Classification Functions for Machine Learning and Data Mining : Synthesis Collection of Technology (R0) - Tsutomu Sasao
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    Synthesis Collection of Technology (R0)
    Tsutomu Sasao
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  • Data Curious : Applying Agile Analytics for Better Business Decisions - Carl Allchin
    Data Curious
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    Carl Allchin and Sarah Nabelsi
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  • IoT and Analytics in Renewable Energy Systems (Volume 1) : Sustainable Smart Grids & Renewable Energy Systems - O. V. Gnana Swathika
    IoT and Analytics in Renewable Energy Systems (Volume 1)
    Sustainable Smart Grids & Renewable Energy Systems
    O. V. Gnana Swathika
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  • IoT and Analytics in Renewable Energy Systems (Volume 2) : AI, ML and IoT Deployment in Sustainable Smart Cities - O.V. Gnana Swathika
    IoT and Analytics in Renewable Energy Systems (Volume 2)
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    O.V. Gnana Swathika, K. Karthikeyan and Sanjeevikumar Padmanaban
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  • Learning for Decision and Control in Stochastic Networks : eBColl Synthesis Collection 12 - Longbo Huang
    Learning for Decision and Control in Stochastic Networks
    eBColl Synthesis Collection 12
    Longbo Huang
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  • Engineering Mathematics and Artificial Intelligence : Foundations, Methods, and Applications - Herb Kunze
    Engineering Mathematics and Artificial Intelligence
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    Herb Kunze, Davide La Torre, Adam Riccoboni and Manuel Ruiz Galán
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  • Cyber Security, Cryptology, and Machine Learning : 7th International Symposium, CSCML 2023, Be'er Sheva, Israel, June 29-30, 2023, Proceedings - Shlomi Dolev
    Cyber Security, Cryptology, and Machine Learning
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    Shlomi Dolev, Ehud Gudes and Pascal Paillier
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  • The Decision Intelligence Handbook : Practical Steps for Evidence-Based Decisions in a Complex World - L. Y. Pratt
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    L. Y. Pratt and N. E. Malcolm
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  • Building Knowledge Graphs : A Practitioner's Guide - Jesus Barrasa
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    Jesus Barrasa and Jim Webber
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  • Standards for the Control of Algorithmic Bias : The Canadian Administrative Context - Natalie Heisler
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    Natalie Heisler and Maura R. Grossman
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  • Security and Risk Analysis for Intelligent Edge Computing : Computer Science (R0) - Gautam Srivastava
    Security and Risk Analysis for Intelligent Edge Computing
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    Gautam Srivastava, Uttam Ghosh and Jerry Chun-Wei Lin
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  • Designing Deep Learning Systems : A software engineer's guide - Chi Wang
    Designing Deep Learning Systems
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    Chi Wang and Donald Szeto
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  • Introduction to Prescriptive AI : A Primer for Decision Intelligence Solutioning with Python - Akshay Kulkarni
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    Akshay Kulkarni, Adarsha Shivananda and Avinash Manure
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  • Multimodal Affective Computing : Technologies and Applications in Learning Environments - Ramón Zatarain Cabada
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    Ramón Zatarain Cabada, Héctor Manuel Cárdenas López and Hugo Jair Escalante
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  • Introduction to Datafication : Implement Datafication Using AI and ML Algorithms - Shivakumar R. Goniwada
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    Shivakumar R. Goniwada
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  • Evolutionary Deep Learning : Genetic algorithms and neural networks - Micheal Lanham
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  • MACHINE LEARNING FOR BEGINNERS : A Practical Guide to Understanding and Applying Machine Learning Concepts (2023 Beginner Crash Course) - Elaine Tate
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  • R for Data Science : Import, Tidy, Transform, Visualize, and Model Data - Hadley Wickham
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  • How to Make Things Faster : Lessons in Performance from Technology and Everyday Life - Cary Millsap
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  • Intelligent Internet of Things Networks : Computer Science (R0) - Haipeng Yao
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