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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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Dr. Amita Kapoor Dr. Amita Kapoor
Author Profile Icon Dr. Amita Kapoor
Dr. Amita Kapoor
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Toc

Table of Contents (14) Chapters Close

Preface 1. Principles and Foundations of IoT and AI 2. Data Access and Distributed Processing for IoT FREE CHAPTER 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

TXT format


One of the simplest and common formats for storing data is the TXT format; many IoT sensors log sensor readings with different timestamps in the simple .txt file format. Python provides built-in functions for creating, reading, and writing into TXT files. 

 We can access TXT files in Python itself without using any module; the data, in this case, is of the string type, and you will need to transform it to other types to use it. Alternatively, we can use NumPy or pandas.

 

Using TXT files in Python

Python has built-in functions that read and write into TXT files. The complete functionality is provided using four sets of functions: open(), read(), write(), and close(). As the names suggest, they are used to open a file, read from a file, write into a file, and finally close it. If you are dealing with string data (text), this is the best choice. In this section, we will use Shakespeare plays in TXT form; the file can be downloaded from the MIT site: https://ocw.mit.edu/ans7870/6/6.006...

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Hands-On Artificial Intelligence for IoT - Second Edition
Published in: Jan 2019
Publisher: Packt
ISBN-13: 9781788836067
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