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Artificial Intelligence with Python

You're reading from Artificial Intelligence with Python A Comprehensive Guide to Building Intelligent Apps for Python Beginners and Developers

Product type Paperback

Published in Jan 2017

Publisher Packt

ISBN-13 9781786464392

Length 446 pages

Edition 1st Edition

Languages

Python

Concepts

Artificial Intelligence

Author (1):

Prateek Joshi

View More author details

Table of Contents (23) Chapters

Artificial Intelligence with Python

Credits

About the Author

About the Reviewer

www.PacktPub.com

Customer Feedback

Preface

1. Introduction to Artificial Intelligence FREE CHAPTER

2. Classification and Regression Using Supervised Learning

3. Predictive Analytics with Ensemble Learning

4. Detecting Patterns with Unsupervised Learning

5. Building Recommender Systems

6. Logic Programming

7. Heuristic Search Techniques

8. Genetic Algorithms

9. Building Games With Artificial Intelligence

10. Natural Language Processing

11. Probabilistic Reasoning for Sequential Data

12. Building A Speech Recognizer

13. Object Detection and Tracking

14. Artificial Neural Networks

15. Reinforcement Learning

16. Deep Learning with Convolutional Neural Networks

Chapter 8. Genetic Algorithms

In this chapter, we are going to learn about genetic algorithms. We will discuss the concepts of evolutionary algorithms and genetic programming, and see how they are related to genetic algorithms. We will learn about the fundamental building blocks of genetic algorithms including crossover, mutation, and fitness functions. We will then use these concepts to build various systems.

By the end of this chapter, you will know about the following:

Understanding evolutionary and genetic algorithms
Fundamental concepts in genetic algorithms
Generating a bit pattern with predefined parameters
Visualizing the progress of the evolution
Solving the symbol regression problem
Building an intelligent robot controller

The rest of the chapter is locked

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