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The Applied Artificial Intelligence Workshop

You're reading from  The Applied Artificial Intelligence Workshop

Product type Book
Published in Jul 2020
Publisher Packt
ISBN-13 9781800205819
Pages 420 pages
Edition 1st Edition
Languages
Authors (3):
Anthony So Anthony So
Profile icon Anthony So
William So William So
Profile icon William So
Zsolt Nagy Zsolt Nagy
Profile icon Zsolt Nagy
View More author details

Table of Contents (8) Chapters

Preface
1. Introduction to Artificial Intelligence 2. An Introduction to Regression 3. An Introduction to Classification 4. An Introduction to Decision Trees 5. Artificial Intelligence: Clustering 6. Neural Networks and Deep Learning Appendix

Summary

In this chapter, we have seen how AI can be used to enhance or substitute human abilities such as to listen, speak, understand language, store and retrieve information, think, see, and move.

Then, we moved on to learning about intelligent agents and the way they interact with the environment, solving a problem in a seemingly intelligent way to pursue a goal.

Then, we introduced Python and learned about its role in AI. We looked at a few important Python libraries for developing AI and prepared data for the intelligent agents. We then created a tic-tac-toe game based on predefined rules. We quantified these rules into a number, a process that we call heuristics. We learned how to use heuristics in the A* search algorithm to find an optimal solution to a problem.

Finally, we got to know about the Minmax and NegaMax algorithms so that the AI could win two-player games. In the next chapter, you will be introduced to regression.

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