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AI Crash Course

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

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Product type Paperback
Published in Nov 2019
Publisher Packt
ISBN-13 9781838645359
Length 360 pages
Edition 1st Edition
Languages
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Author (1):
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Hadelin de Ponteves Hadelin de Ponteves
Author Profile Icon Hadelin de Ponteves
Hadelin de Ponteves
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Table of Contents (17) Chapters Close

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 16. Index

AI for Business – Minimize Costs with Deep Q-Learning

It's great that you can implement a deep Q-learning model to build a self-driving car. Really, once again, huge congratulations to you for that. But I also want you to be able to use deep Q-learning to solve a real-world business problem. With this next application, you'll be more than ready to add value to your work or business by leveraging AI. Even though we'll once again use a specific application, this chapter will provide you with a general AI framework, a blueprint containing the general steps of the process you have to follow when solving a real-world problem with deep Q-learning. This chapter is very important to you and for your career; I don't want you to close this book before you feel confident with the skills you'll learn here. Let's smash this next application together!

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