IoT and Machine Learning for Smart Applications
eBook - ePub

IoT and Machine Learning for Smart Applications

  1. 216 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

IoT and Machine Learning for Smart Applications

About this book

This book provides an illustration of the various methods and structures that are utilized in machine learning to make use of data that is generated by IoT devices. Numerous industries utilize machine learning, specifically machine learning-as-a-service (MLaaS), to realize IoT to its full potential. On the application of machine learning to smart IoT applications, it becomes easier to observe, methodically analyze, and process a large amount of data to be used in various fields.

Features:

  • Explains the current methods and algorithms used in machine learning and IoT knowledge discovery for smart applications
  • Covers machine- learning approaches that address the difficulties posed by IoT- generated data for smart applications
  • Describes how various methods are used to extract higher- level information from IoT- generated data
  • Presents the latest technologies and research findings on IoT for smart applications
  • Focuses on how machine learning algorithms are used in various real- world smart applications and engineering problems

It is a ready reference for researchers and practitioners in the field of information technology who are interested in the IoT and Machine Learning fields.

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Yes, you can access IoT and Machine Learning for Smart Applications by G. Vennira Selvi,T. Ganesh Kumar,M. Prasad,Raju Hajare,Priti Rishi in PDF and/or ePUB format, as well as other popular books in Computer Science & Application Development. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half-Title Page
  3. Title Page
  4. Copyright Page
  5. Table of Contents
  6. About the Editors
  7. List of Contributors
  8. 1 Recent Advances in Machine Learning Strategies and Its Applications
  9. 2 Understanding the Concept of IoT
  10. 3 Unlocking the Power of IoT: An In-Depth Exploration
  11. 4 Machine Learning in Internet of Things
  12. 5 Role of Machine Learning in Real-Life Environment
  13. 6 Efficient Blockchain-Based Edge Computing System Using Transfer Learning Model
  14. 7 Introducing a Compact and High-Speed Machine Learning Accelerator for IoT-Enabled Health Monitoring Systems
  15. 8 Realization of Smart City Based on IoT and AI
  16. 9 Sentiment Analysis of Airline Tweets Using Machine Learning Algorithms and Regular Expression
  17. 10 Smart Workspace Automation: Harnessing IoT and AI for Sustainable Urban Development and Improved Quality of Life
  18. 11 Application of Digital Image Watermarking in the Internet of Things and Machine Learning
  19. Index