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

Amazon Web Services (AWS)

We'll now focus on the top three cloud providers. As you are probably already aware, cloud providers offer much more than artificial services, starting with barebones compute and storage services, all the way to very sophisticated high-level services. As with everything else in this book, we will specifically drill into the artificial intelligence and machine learning services that cloud providers offer, starting with AWS.

Amazon SageMaker

Amazon SageMaker was launched at Amazon's annual re:Invent conference in Las Vegas, Nevada in 2017. SageMaker is a machine learning platform that enables developers and data scientists to create, train, and deploy machine learning (ML) models in the cloud.

A common tool used by data scientists in their day-to-day work is a Jupyter Notebook. These notebooks are documents that contain a combination of computer code such as Python, rich text elements such as paragraphs, equations, graphs, and URLs. Jupyter...