You're reading from AI Crash Course A fun and hands-on introduction to machine learning, reinforcement learning, deep learning, and artificial intelligence with Python

Product type Paperback

Published in Nov 2019

Publisher Packt

ISBN-13 9781838645359

Length 360 pages

Edition 1st Edition

Languages

Python

Concepts

Artificial Intelligence

Author (1):

Hadelin de Ponteves

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Table of Contents (17) Chapters

Preface

1. Welcome to the Robot World FREE CHAPTER

2. Discover Your AI Toolkit

3. Python Fundamentals – Learn How to Code in Python

4. AI Foundation Techniques

5. Your First AI Model – Beware the Bandits!

6. AI for Sales and Advertising – Sell like the Wolf of AI Street

7. Welcome to Q-Learning

8. AI for Logistics – Robots in a Warehouse

9. Going Pro with Artificial Brains – Deep Q-Learning

10. AI for Autonomous Vehicles – Build a Self-Driving Car

11. AI for Business – Minimize Costs with Deep Q-Learning

12. Deep Convolutional Q-Learning

13. AI for Games – Become the Master at Snake

14. Recap and Conclusion

15. Other Books You May Enjoy

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16. Index

Python Fundamentals – Learn How to Code in Python

This chapter is for people who have little or no experience with the Python programming language. If you already know how to use for/while loops, methods, and classes in Python, you can skip this chapter and you shouldn't have any problems later on.

If, however, you have not used Python before, or have only barely used it, I strongly recommend that you follow this guide. You'll learn how to code the elements of Python I mentioned in the previous paragraph, you'll fully understand the codes included in this book and you'll be able to code in Python on your own. I'll also give you some additional exercises, called "homework" throughout the chapter, which I strongly recommend that you do.

Before you begin, open your Python editor. I recommend using the Google Colab notebook, introduced to you as part of your AI Toolkit in the previous chapter. All the code, along with...