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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 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

SQL data

Most databases are organized using relational models. A relational database consists of one or more related tables of information, and the relationship between information in different tables is described using keys. Conventionally, these databases are managed using the Database Management System (DBMS), software which interacts with end users, different applications, and the database itself to capture and analyze data. Commercially available DBMSes use Structured Query Language (SQL) to access and manipulate databases. We can also use Python to access relational databases. In this section, we will explore SQLite and MySQL, two very popular database engines that work with Python.

The SQLite database engine

According...

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