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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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Toc

Table of Contents (17) Chapters Close

Preface 1. Welcome to the Robot World 2. Discover Your AI Toolkit FREE CHAPTER 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 solution and intuition refresher

Before you enjoy seeing your AI in action, let's refresh our memories and adapt the whole Thompson Sampling AI model to this new problem.

By the way, if you don't like this e-commerce business application, feel totally free to imagine yourself back into the casino, surrounded by nine slot machines having the same conversion rates as the ones given to our strategies. It's exactly the same scenario; the 9 strategies could very well be nine slot machines giving with the same conversion rates either a 1 reward (making you money) or a 0 reward (taking your money). Your goal would be to figure out as quickly as possible which slot machine has the highest chance of giving you the jackpot! It's up to you. Feel free to either go for Vegas or the AI Street, but as far as this chapter is concerned, I'll stick with our e-commerce business.

For starters, let's remind ourselves that each time we show an ad to a new...

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