Book Image

Hands-On Artificial Intelligence for IoT - Second Edition

By : Amita Kapoor
Book Image

Hands-On Artificial Intelligence for IoT - Second Edition

By: Amita Kapoor

Overview of this book

There are many applications that use data science and analytics to gain insights from terabytes of data. These apps, however, do not address the challenge of continually discovering patterns for IoT data. In Hands-On Artificial Intelligence for IoT, we cover various aspects of artificial intelligence (AI) and its implementation to make your IoT solutions smarter. This book starts by covering the process of gathering and preprocessing IoT data gathered from distributed sources. You will learn different AI techniques such as machine learning, deep learning, reinforcement learning, and natural language processing to build smart IoT systems. You will also leverage the power of AI to handle real-time data coming from wearable devices. As you progress through the book, techniques for building models that work with different kinds of data generated and consumed by IoT devices such as time series, images, and audio will be covered. Useful case studies on four major application areas of IoT solutions are a key focal point of this book. In the concluding chapters, you will leverage the power of widely used Python libraries, TensorFlow and Keras, to build different kinds of smart AI models. By the end of this book, you will be able to build smart AI-powered IoT apps with confidence.
Table of Contents (20 chapters)
Title Page
Copyright and Credits
Dedication
About Packt
Contributors
Preface
Index

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 sitehttps://ocw.mit.edu/ans7870/6/6.006...