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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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  • The AI Glossary : AI and Emerging Tech Explained - 256 Key Concepts for Students, Professionals & Curious Minds - Richard R. Khan
    The AI Glossary
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    Richard R. Khan
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  • CLOUD DATA SCIENCE MASTERY : UNLOCKING SNOWFLAKE'S POWER WITH SPARK, R, QUBOLE AND PYTHON - Timothy Ugbaja
    CLOUD DATA SCIENCE MASTERY
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    Timothy Ugbaja
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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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  • Emerging Technologies in AI, Computation, Communication, and Cybersecurity - Manoj Kumar
    Emerging Technologies in AI, Computation, Communication, and Cybersecurity
    Manoj Kumar, Tanweer Ali, Jaume Anguera and Suman Lata Tripathi
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  • Environmental Monitoring with AI and IoT : Smart Systems for a Sustainable Future - Sneha Gautam
    Environmental Monitoring with AI and IoT
    Smart Systems for a Sustainable Future
    Sneha Gautam, Chafai Azri and Md. Badiuzzaman Khan
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  • Generative AI and Generative AI of Things for Sustainable Smart Cities : Pioneering Environmental Innovations, Climate Solutions, and Infrastructural Transformations - Simon Elias Bibri
    Generative AI and Generative AI of Things for Sustainable Smart Cities
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    Simon Elias Bibri
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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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  • Smart Agriculture for Sustainable Practices : The Role of AI, IoT, and Machine Learning - S. N. Kumar
    Smart Agriculture for Sustainable Practices
    The Role of AI, IoT, and Machine Learning
    S. N. Kumar, Sherin Zafar, Arun S, Sameena Naaz and Eduard Babulak
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  • Deep Learning for Intrusion Detection : Techniques and Applications - Faheem Syeed Masoodi
    Deep Learning for Intrusion Detection
    Techniques and Applications
    Faheem Syeed Masoodi and Alwi Bamhdi
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  • How Seniors Learn AI : Meet Your Everyday Helper for Answers, Tasks, Health, and Home Fixes - Dan Wilson
    How Seniors Learn AI
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    Dan Wilson
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  • Explainable AI for Healthcare : Real Life Applications and Use Cases for Practitioners - Aman Kataria
    Explainable AI for Healthcare
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    Aman Kataria and Sita Rani
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  • AI Systems Performance Engineering : Optimizing Model Training and Inference Workloads with GPUs, CUDA, and PyTorch - Chris Fregly
    AI Systems Performance Engineering
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    Chris Fregly
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  • Towards A Semantic Web : Connecting Knowledge in Academic Research - Bill Cope
    Towards A Semantic Web
    Connecting Knowledge in Academic Research
    Bill Cope, Mary Kalantzis and Liam Magee
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  • Data Mining and Knowledge Discovery for Geoscientists - Guangren Shi
    Data Mining and Knowledge Discovery for Geoscientists
    Guangren Shi
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  • 25 Recipes for Getting Started with R : Excerpts from the R Cookbook - Paul Teetor
    25 Recipes for Getting Started with R
    Excerpts from the R Cookbook
    Paul Teetor
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  • Data Source Handbook : A Guide to Public Data - Pete Warden
    Data Source Handbook
    A Guide to Public Data
    Pete Warden
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  • Exploring Everyday Things with R and Ruby : Learning About Everyday Things - Sau Sheong Chang
    Exploring Everyday Things with R and Ruby
    Learning About Everyday Things
    Sau Sheong Chang
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  • Database Design and Relational Theory : Normal Forms and All That Jazz - C.J. Date
    Database Design and Relational Theory
    Normal Forms and All That Jazz
    C.J. Date
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  • Bad Data Handbook : Cleaning Up The Data So You Can Get Back To Work - Q. Ethan McCallum
    Bad Data Handbook
    Cleaning Up The Data So You Can Get Back To Work
    Q. Ethan McCallum
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  • Hybrid Rough Sets and Applications in Uncertain Decision-Making - Lirong Jian
    Hybrid Rough Sets and Applications in Uncertain Decision-Making
    Lirong Jian, Sifeng Liu and Yi Lin
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  • Understanding Complex Datasets : Data Mining with Matrix Decompositions - David Skillicorn
    Understanding Complex Datasets
    Data Mining with Matrix Decompositions
    David Skillicorn
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  • Smart Swarm : Using Animal Behaviour to Organise Our World - Peter Miller
    Smart Swarm
    Using Animal Behaviour to Organise Our World
    Peter Miller
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  • Computational Methods and Clinical Applications for Spine Imaging : 6th International Workshop and Challenge, CSI 2019, Shenzhen, China, October 17, 2019, Proceedings - Yunliang Cai
    Computational Methods and Clinical Applications for Spine Imaging
    6th International Workshop and Challenge, CSI 2...
    Yunliang Cai, Liansheng Wang, Michel Audette, Guoyan Zheng and Shuo Li
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  • Leadership Lessons for Any Occasion : Stories of Our Mothers - Ed Betof
    Leadership Lessons for Any Occasion
    Stories of Our Mothers
    Ed Betof and Nila Betof
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  • Python Deep Learning Projects : 9 projects demystifying neural network and deep learning models for building intelligent systems - Matthew Lamons
    Python Deep Learning Projects
    9 projects demystifying neural network and deep...
    Matthew Lamons, Rahul Kumar and Abhishek Nagaraja
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  • Granular Computing : Analysis and Design of Intelligent Systems - Witold Pedrycz
    Granular Computing
    Analysis and Design of Intelligent Systems
    Witold Pedrycz
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  • Reinforcement Learning Algorithms with Python : Learn, understand, and develop smart algorithms for addressing AI challenges - Andrea Lonza
    Reinforcement Learning Algorithms with Python
    Learn, understand, and develop smart algorithms...
    Andrea Lonza
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  • Machine Learning and its Applications - Peter Wlodarczak
    Machine Learning and its Applications
    Peter Wlodarczak
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  • A Primer on Machine Learning Applications in Civil Engineering - Paresh Chandra Deka
    A Primer on Machine Learning Applications in Civil Engineering
    Paresh Chandra Deka
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  • Statistics and Data Science : Research School on Statistics and Data Science, RSSDS 2019, Melbourne, VIC, Australia, July 24-26, 2019, Proceedings - Hien Nguyen
    Statistics and Data Science
    Research School on Statistics and Data Science,...
    Hien Nguyen
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  • Bioinformatics and Biomedical Engineering : 7th International Work-Conference, IWBBIO 2019, Granada, Spain, May 8-10, 2019, Proceedings, Part I - Ignacio Rojas
    Bioinformatics and Biomedical Engineering
    7th International Work-Conference, IWBBIO 2019,...
    Ignacio Rojas, Olga Valenzuela, Fernando Rojas and Francisco Ortuño
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  • Practical Machine Learning with Rust : Creating Intelligent Applications in Rust - Joydeep Bhattacharjee
    Practical Machine Learning with Rust
    Creating Intelligent Applications in Rust
    Joydeep Bhattacharjee
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  • Algorithms in Machine Learning Paradigms : Engineering (R0) - Jyotsna Kumar Mandal
    Algorithms in Machine Learning Paradigms
    Engineering (R0)
    Jyotsna Kumar Mandal, Somnath Mukhopadhyay, Paramartha Dutta and Kousik Dasgupta
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  • Medical Image Understanding and Analysis : 23rd Conference, MIUA 2019, Liverpool, UK, July 24-26, 2019, Proceedings - Yalin Zheng
    Medical Image Understanding and Analysis
    23rd Conference, MIUA 2019, Liverpool, UK, July...
    Yalin Zheng
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  • Pattern Recognition Applications and Methods : 8th International Conference, ICPRAM 2019, Prague, Czech Republic, February 19-21, 2019, Revised Selected Papers - Maria De Marsico
    Pattern Recognition Applications and Methods
    8th International Conference, ICPRAM 2019, Prag...
    Maria De Marsico, Gabriella Sanniti di Baja and Ana Fred
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  • Bioinformatics and Biomedical Engineering : 7th International Work-Conference, IWBBIO 2019, Granada, Spain, May 8-10, 2019, Proceedings, Part II - Ignacio Rojas
    Bioinformatics and Biomedical Engineering
    7th International Work-Conference, IWBBIO 2019,...
    Ignacio Rojas, Olga Valenzuela, Fernando Rojas and Francisco Ortuño
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  • Guide to Deep Learning Basics : Logical, Historical and Philosophical Perspectives - Author
    Guide to Deep Learning Basics
    Logical, Historical and Philosophical Perspectives
    Author
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  • Temporal Modelling of Customer Behaviour : Intelligent Technologies and Robotics (R0) - Ling Luo
    Temporal Modelling of Customer Behaviour
    Intelligent Technologies and Robotics (R0)
    Ling Luo
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  • Oracle Digital Assistant : A Guide to Enterprise-Grade Chatbots - Luc Bors
    Oracle Digital Assistant
    A Guide to Enterprise-Grade Chatbots
    Luc Bors, Ardhendu Samajdwer and Mascha van Oosterhout
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  • Multiscale Multimodal Medical Imaging : First International Workshop, MMMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings - Author
    Multiscale Multimodal Medical Imaging
    First International Workshop, MMMI 2019, Held i...
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  • Digital Science 2019 : Springer Nature Proceedings excluding Computer Science - Tatiana Antipova
    Digital Science 2019
    Springer Nature Proceedings excluding Computer ...
    Tatiana Antipova
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  • Neural Information Processing : 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12-15, 2019, Proceedings, Part V - Tom Gedeon
    Neural Information Processing
    26th International Conference, ICONIP 2019, Syd...
    Tom Gedeon, Kok Wai Wong and Minho Lee
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  • Neural Information Processing : 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12-15, 2019, Proceedings, Part IV - Tom Gedeon
    Neural Information Processing
    26th International Conference, ICONIP 2019, Syd...
    Tom Gedeon, Kok Wai Wong and Minho Lee
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  • Advancement of Machine Intelligence in Interactive Medical Image Analysis : Intelligent Technologies and Robotics (R0) - Om Prakash Verma
    Advancement of Machine Intelligence in Interactive Medical Image Analysis
    Intelligent Technologies and Robotics (R0)
    Om Prakash Verma, Sudipta Roy, Subhash Chandra Pandey and Mamta Mittal
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  • JavaScript for Data Science : Chapman & Hall/CRC Data Science Series - Maya Gans
    JavaScript for Data Science
    Chapman & Hall/CRC Data Science Series
    Maya Gans, Toby Hodges and Greg Wilson
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  • BIOS Instant Notes in Bioinformatics : Instant Notes - J Howard Parish
    BIOS Instant Notes in Bioinformatics
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    J Howard Parish, Richard M Twyman, Charlie Hodgman, Andrew French and David Westhead
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  • Distributed Strategic Learning for Wireless Engineers - Hamidou Tembine
    Distributed Strategic Learning for Wireless Engineers
    Hamidou Tembine
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  • Scaling up Machine Learning : Parallel and Distributed Approaches - Ron Bekkerman
    Scaling up Machine Learning
    Parallel and Distributed Approaches
    Ron Bekkerman, Mikhail Bilenko and John Langford
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  • Data Analytics Applications in Gaming and Entertainment : Data Analytics Applications - Günter Wallner
    Data Analytics Applications in Gaming and Entertainment
    Data Analytics Applications
    Günter Wallner
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  • How to Be Human in the Digital Economy : The MIT Press - Nicholas Agar
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    Nicholas Agar
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  • Data-Driven Science and Engineering : Machine Learning, Dynamical Systems, and Control - Steven L. Brunton
    Data-Driven Science and Engineering
    Machine Learning, Dynamical Systems, and Control
    Steven L. Brunton and J. Nathan Kutz
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  • Data-Driven Analytics for the Geological Storage of CO2 - Shahab Mohaghegh
    Data-Driven Analytics for the Geological Storage of CO2
    Shahab Mohaghegh
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  • Data Mining Applications with R - Yonghua Cen
    Data Mining Applications with R
    Yonghua Cen and Yanchang Zhao
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  • Practical Automated Machine Learning on Azure : Using Azure Machine Learning to Quickly Build AI Solutions - Deepak Mukunthu
    Practical Automated Machine Learning on Azure
    Using Azure Machine Learning to Quickly Build A...
    Deepak Mukunthu, Parashar Shah and Wee Hyong Tok
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  • Big Data in Omics and Imaging : Integrated Analysis and Causal Inference - Momiao Xiong
    Big Data in Omics and Imaging
    Integrated Analysis and Causal Inference
    Momiao Xiong
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  • Bioinformatics Research and Applications : 15th International Symposium, ISBRA 2019, Barcelona, Spain, June 3-6, 2019, Proceedings - Zhipeng Cai
    Bioinformatics Research and Applications
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    Zhipeng Cai, Pavel Skums and Min Li
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  • Social, Cultural, and Behavioral Modeling : 12th International Conference, SBP-BRiMS 2019, Washington, DC, USA, July 9-12, 2019, Proceedings - Robert Thomson
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  • Compressed Sensing and Its Applications : Third International MATHEON Conference 2017 - Holger Boche
    Compressed Sensing and Its Applications
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    Holger Boche, Giuseppe Caire, Robert Calderbank, Gitta Kutyniok and Philipp Petersen
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  • Robot Intelligence Technology and Applications : 6th International Conference, RiTA 2018, Kuala Lumpur, Malaysia, December 16-18, 2018, Revised Selected Papers - Jong-Hwan Kim
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    Jong-Hwan Kim, Hyung Myung and Seung-Mok Lee
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  • Optimization in Machine Learning and Applications : Intelligent Technologies and Robotics (R0) - 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
    Smart Health
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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
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    Abdullah Bin Gani, Pradip Kumar Das, Latika Kharb and Deepak Chahal
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  • Computer Vision Applications : Third Workshop, WCVA 2018, Held in Conjunction with ICVGIP 2018, Hyderabad, India, December 18, 2018, Revised Selected Papers - Chetan Arora
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    Chetan Arora and Kaushik Mitra
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  • Big Data : 7th CCF Conference, BigData 2019, Wuhan, China, September 26-28, 2019, Proceedings - Author
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  • Hands-on Scikit-Learn for Machine Learning Applications : Data Science Fundamentals with Python - David Paper
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  • 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
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  • Azure Internet of Things Revealed : Architecture and Fundamentals - Robert Stackowiak
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