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Hands-On Artificial Intelligence for IoT

You're reading from   Hands-On Artificial Intelligence for IoT Expert machine learning and deep learning techniques for developing smarter IoT systems

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Product type Paperback
Published in Jan 2019
Publisher Packt
ISBN-13 9781788836067
Length 390 pages
Edition 2nd Edition
Languages
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Author (1):
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Amita Kapoor Amita Kapoor
Author Profile Icon Amita Kapoor
Amita Kapoor
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Toc

Table of Contents (14) Chapters Close

Preface 1. Principles and Foundations of IoT and AI FREE CHAPTER 2. Data Access and Distributed Processing for IoT 3. Machine Learning for IoT 4. Deep Learning for IoT 5. Genetic Algorithms for IoT 6. Reinforcement Learning for IoT 7. Generative Models for IoT 8. Distributed AI for IoT 9. Personal and Home IoT 10. AI for the Industrial IoT 11. AI for Smart Cities IoT 12. Combining It All Together 13. Other Books You May Enjoy

Combining It All Together

Now that we have understood and implemented different Artificial Intelligence (AI)/machine learning (ML) algorithms, it is time to combine it all together, understand which type of data is best suited for each, and, at the same time, understand the basic preprocessing required for each type of data. By the end of this chapter, you will know the following:

  • The different types of data that can be fed to your model
  • How to process time series data
  • Preprocessing of textual data
  • Different transforms that can be done on image data
  • How to handle video files
  • How to handle speech data
  • Cloud computing options
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