Book Image

Artificial Intelligence with Python - Second Edition

By : Prateek Joshi
Book Image

Artificial Intelligence with Python - Second Edition

By: Prateek Joshi

Overview of this book

Artificial Intelligence with Python, Second Edition is an updated and expanded version of the bestselling guide to artificial intelligence using the latest version of Python 3.x. Not only does it provide you an introduction to artificial intelligence, this new edition goes further by giving you the tools you need to explore the amazing world of intelligent apps and create your own applications. This edition also includes seven new chapters on more advanced concepts of Artificial Intelligence, including fundamental use cases of AI; machine learning data pipelines; feature selection and feature engineering; AI on the cloud; the basics of chatbots; RNNs and DL models; and AI and Big Data. Finally, this new edition explores various real-world scenarios and teaches you how to apply relevant AI algorithms to a wide swath of problems, starting with the most basic AI concepts and progressively building from there to solve more difficult challenges so that by the end, you will have gained a solid understanding of, and when best to use, these many artificial intelligence techniques.
Table of Contents (26 chapters)
24
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25
Index

NoSQL Databases

Before we delve deeper into specific types of NoSQL databases, let's first understand what a NoSQL database is. It's not a great name, but it is hard to come up with anything better. As the name implies a NoSQL database is any database that is not a SQL database. It comprises a variety of database technologies that had to be built in response to market demands for products that were able to handle bigger workloads and larger and more diverse datasets.

Data is the new oil and it exists in a wide variety of places. Log files, audio, video, click streams, IoT data, and emails are some examples of the data that needs to be processed and analyzed. Traditional SQL databases require a structured schema before the data can be used. Additionally, they were not built to take advantage of commodity storage and processing power easily available today.

Types of NoSQL databases

Document databases – Document databases are used to store semi-structured...