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Books on the topic 'Edge machine learning'

Author: Grafiati

Published: 4 June 2021

Last updated: 27 July 2025

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1

Singh, Amitoj, Vinay Kukreja, and Taghi Javdani Gandomani. Machine Learning for Edge Computing. CRC Press, 2022. http://dx.doi.org/10.1201/9781003143468.

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2

Pasricha, Sudeep, and Muhammad Shafique, eds. Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-39932-9.

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3

Pasricha, Sudeep, and Muhammad Shafique, eds. Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-19568-6.

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4

Pasricha, Sudeep, and Muhammad Shafique, eds. Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-40677-5.

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5

Jain, Vikram, and Marian Verhelst. Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-38230-7.

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6

Gama, Joao, Sepideh Pashami, Albert Bifet, et al., eds. IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-66770-2.

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7

Seferlis, Christopher, Christopher Nellis, and Timothy Andy Roberts. Practical Guide to Azure Cognitive Services: Leverage the Power of Azure OpenAI to Optimize Operations, Reduce Costs, and Deliver Cutting-Edge AI Solutions. Packt Publishing, Limited, 2023.

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8

Singh, Neeraj Kumar, Sunil Kumar Khatri, Rajiv Pandey, and Parul Verma. Artificial Intelligence and Machine Learning for EDGE Computing. Elsevier Science & Technology, 2022.

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9

Artificial Intelligence and Machine Learning for EDGE Computing. Elsevier, 2022. http://dx.doi.org/10.1016/c2020-0-01569-0.

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10

Singh, Neeraj Kumar, Sunil Kumar Khatri, Rajiv Pandey, and Parul Verma. Artificial Intelligence and Machine Learning for EDGE Computing. Elsevier Science & Technology Books, 2022.

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11

Chatterjee, Chanchal, and Vwani Roy Chowdhury. Adaptive Machine Learning Algorithms with Python: Solve Data Analytics and Machine Learning Problems on Edge Devices. Apress L. P., 2022.

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12

Kenwright, Benjamin. Cutting-Edge Techniques for Effective Data Mining and Machine Learning. IGI Global, 2024.

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13

Kukreja, Vinay, Taghi Javdani Gandomani, and Amitoj Singh. Machine Learning for Edge Computing: Frameworks, Patterns and Best Practices. Taylor & Francis Group, 2022.

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14

Kukreja, Vinay, Taghi Javdani Gandomani, and Amitoj Singh. Machine Learning for Edge Computing: Frameworks, Patterns and Best Practices. CRC Press LLC, 2022.

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15

Kukreja, Vinay, Taghi Javdani Gandomani, and Amitoj Singh. Machine Learning for Edge Computing: Frameworks, Patterns and Best Practices. Taylor & Francis Group, 2022.

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16

Pasricha, Sudeep, and Muhammad Shafique. Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing. Springer International Publishing AG, 2023.

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17

Kukreja, Vinay, Taghi Javdani Gandomani, and Amitoj Singh. Machine Learning for Edge Computing: Frameworks, Patterns and Best Practices. Taylor & Francis Group, 2022.

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18

Kukreja, Vinay, Taghi Javdani Gandomani, and Amitoj Singh. Machine Learning for Edge Computing: Frameworks, Patterns and Best Practices. CRC Press LLC, 2023.

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19

Kenwright, Benjamin. Cutting-Edge Techniques for Effective Data Mining and Machine Learning. IGI Global, 2024.

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20

Cutting-Edge Techniques for Effective Data Mining and Machine Learning. IGI Global, 2024.

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21

Python machine learning: Unlock deeper insights into machine learning with this vital guide to cutting-edge predictive analytics. Packt Publishing, 2015.

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22

Eldar, Yonina C., Andrea Goldsmith, Deniz Gündüz, and H. Vincent Poor, eds. Machine Learning and Wireless Communications. Cambridge University Press, 2022. http://dx.doi.org/10.1017/9781108966559.

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How can machine learning help the design of future communication networks – and how can future networks meet the demands of emerging machine learning applications? Discover the interactions between two of the most transformative and impactful technologies of our age in this comprehensive book. First, learn how modern machine learning techniques, such as deep neural networks, can transform how we design and optimize future communication networks. Accessible introductions to concepts and tools are accompanied by numerous real-world examples, showing you how these techniques can be used to tackle

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23

Nagel, Stefan. Machine Learning in Asset Pricing. Princeton University Press, 2021. http://dx.doi.org/10.23943/princeton/9780691218700.001.0001.

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Investors in financial markets are faced with an abundance of potentially value-relevant information from a wide variety of different sources. In such data-rich, high-dimensional environments, techniques from the rapidly advancing field of machine learning (ML) are well-suited for solving prediction problems. Accordingly, ML methods are quickly becoming part of the toolkit in asset pricing research and quantitative investing. This book examines the promises and challenges of ML applications in asset pricing. Asset pricing problems are substantially different from the settings for which ML tool

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24

AI at the Edge: Solving Real World Problems with Embedded Machine Learning. O'Reilly Media, Incorporated, 2023.

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25

Palmas, Alessandro. Reinforcement Learning Workshop: Learn How to Apply Cutting-Edge Reinforcement Learning Algorithms to Your Own Machine Learning Models. Packt Publishing, Limited, 2020.

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26

Taylor, Brian L. Machine Learning: A Quick Guide to Artificial Intelligence, Neural Network and Cutting Edge Deep Learning Techniques for Beginners. Independently Published, 2019.

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27

Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing: Use Cases and Emerging Challenges. Springer, 2023.

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28

Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing: Software Optimizations and Hardware/Software Codesign. Springer, 2023.

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29

Mitra, Indraneel, and Ryan Burke. Intelligent Workloads at the Edge: Deliver Cyber-Physical Outcomes with Data and Machine Learning Using AWS IoT Greengrass. Packt Publishing, Limited, 2022.

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30

Sandric, Ionut, Zenaida Chitu, Viorel Ilinca, and Marta Jurchescu. Earth Observation Applications to Landslide Mapping and Monitoring: Cutting-Edge Approaches with Machine Learning, Aerial and Satellite Imagery. Elsevier, 2023.

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31

Sandric, Ionut, Zenaida Chitu, Viorel Ilinca, and Marta Jurchescu. Earth Observation Applications to Landslide Mapping and Monitoring: Cutting-Edge Approaches with Machine Learning, Aerial and Satellite Imagery. Elsevier, 2022.

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32

Blondie24: Playing at the edge of AI. Morgan Kaufmann, 2002.

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33

Hoder, Chris, Anand Raman, Mary Branscombe, and Simon Bisson. Azure AI Services at Scale for Cloud, Mobile, and Edge: Building Intelligent Apps with Azure Cognitive Services and Machine Learning. O'Reilly Media, Incorporated, 2022.

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34

Nellis, Christopher, and Chris Seferlis. Practical Guide to Azure Cognitive Services: Leverage the Power of Azure OpenAI to Optimize Operations, Reduce Costs, and Deliver Cutting-Edge AI Solutions. de Gruyter GmbH, Walter, 2023.

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35

Jain, Vikram. Towards Heterogeneous Multi-Core System-on-Chips for Edge Machine Learning: Journey from Single-Core Acceleration to Multi-core Heterogeneous Systems. Springer, 2023.

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36

Oak, Rajvardhan. 10 Machine Learning Blueprints You Should Know for Cybersecurity: Protect Your Systems and Boost Your Defenses with Cutting-Edge AI Techniques. de Gruyter GmbH, Walter, 2023.

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37

Muggleton, Stephen, and Nicholas Chater, eds. Human-Like Machine Intelligence. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198862536.001.0001.

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In recent years there has been increasing excitement concerning the potential of Artificial Intelligence to transform human society. This book addresses the leading edge of research in this area. The research described aims to address present incompatibilities of Human and Machine reasoning and learning approaches. According to the influential US funding agency DARPA (originator of the Internet and Self-Driving Cars) this new area represents the Third Wave of Artificial Intelligence (3AI, 2020s–2030s), and is being actively investigated in the US, Europe and China. The EPSRC’s UK network on Hu

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38

Oak, Rajvardhan. 10 Machine Learning Blueprints You Should Know for Cybersecurity: Protect Your Network and Data with Cutting-Edge Ai Techniques and Projects to Boost Your Cybersecurity Defenses. Packt Publishing, Limited, 2023.

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39

Aggarwal, Manasvi, and M. N. Murty. Machine Learning in Social Networks: Embedding Nodes, Edges, Communities, and Graphs. Springer Singapore Pte. Limited, 2020.

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40

IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning: Second International Workshop, IoT Streams 2020, and First International Workshop, ITEM 2020, Co-Located with ECML/PKDD 2020, Ghent, Belgium, September 14-18, 2020, Revised Selected Papers. Springer International Publishing AG, 2021.

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41

Madhu, G., Sandeep Kautish, A. Govardhan, and Avinash Sharma, eds. Emerging Computational Approaches in Telehealth and Telemedicine: A Look at The Post-COVID-19 Landscape. BENTHAM SCIENCE PUBLISHERS, 2022. http://dx.doi.org/10.2174/97898150792721220101.

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This book gives an overview of innovative approaches in telehealth and telemedicine. The Goal of the content is to inform readers about recent computer applications in e-health, including Internet of Things (IoT) and Internet of Medical Things (IoMT) technology. The 9 chapters will guide readers to determine the urgency to intervene in specific medical cases, and to assess risk to healthcare workers. The focus on telehealth along with telemedicine, encompasses a broader spectrum of remote healthcare services for the reader to understand. Chapters cover the following topics: - A COVID-19 care s

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42

Van Dyk, Jacob. The Modern Technology of Radiation Oncology, Vol 4. Medical Physics Publishing, 2020. http://dx.doi.org/10.54947/9781951134020.

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High praise continues to come in for the 4th volume of Jake Van Dyk's The Modern Technology of Radiation Oncology. From Peter Metcalfe in Physical and Engineering Sciences in Medicine… "Thank goodness medical physics has Jacob Van Dyk. Like Tiger Woods and Phil Mickelson in golf, his textbooks continue to make major comebacks. He has managed to assemble the most talented among us to sustain the up-to-date knowledge that is essential to our profession. Reference knowledge from this textbook will help ensure the medical physics profession is at the cutting edge of cancer research and clinical tr

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