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)
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In this chapter, we learned about RL systems. We discussed the premise of RL and how we can set it up. We talked about the differences between RL and supervised learning. We went through some real-world examples of RL and saw how various systems use it in different forms.

We discussed the building blocks of RL and concepts such as agent, environment, policy, reward, and so on. We then created an environment in Python to see it all in action. Finally, we used these concepts to build an RL agent.

In the next chapter, we will go into a rather different topic and learn how big data technologies can help us make our machine learning systems more robust and efficient.