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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 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

Preface

Hello, data scientists and AI enthusiasts. For many years I've created online courses on Artificial Intelligence (AI), which have been very successful and contributed well to the AI community. However, something essential was missing. At one point, so many AI courses were made that most of my students asked me for guidance on how to take the courses. So instead of providing an order in which to take the courses, I decided to create an all-in-one full guide to AI as a book, which would include in a perfect structure all the best explanations and real-world practical activities from my courses.

You see, my goal is to democratize AI and raise awareness among everyone of the fact that AI is an accessible technology that can make a difference for the better in this world. I am trying my best to spread knowledge around the world to get people prepared for the future jobs and opportunities of this 21st century. And I thought some people would learn AI much more efficiently from an all-in-one book they can take anywhere, rather than completing tens of online courses that can be hard to navigate. That being said, this book is also a great additional resource for those people who do prefer, and take, online courses.

My simple hope for this book is that more people learn AI the right way, as a result of me offering them this efficient alternative to online courses. I've succeeded at the challenge of including the best of my training in a single book, and today I'm truly happy to release it. I sincerely hope it will help more people land their dream job, grow an amazing career in data science or AI, and bring beautiful solutions to the tough challenges of this 21st century.

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