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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

Who this book is for

Anyone interested in machine learning, deep learning, or AI.

People who aren't that comfortable with coding, but who are interested in AI and want to apply it easily to real-world problems.

College or university students who want to start a career in data science or AI.

Data analysts who want to level up in AI.

Anyone who isn't satisfied with their job and wants to take the first steps toward a career in data science.

Business owners who want to add value to their business by using powerful AI tools.

Entrepreneurs who are eager to learn how to leverage AI to optimize their business, maximize profitability, and increase efficiency.

AI practitioners who want to know what projects they can offer to their employees.

Aspiring data scientists, looking for business cases to add to their portfolio.

Technology enthusiasts interested in leveraging machine learning and AI to solve business problems.

Consultants who want to transition companies into being AI-driven businesses.

Students with at least high school knowledge in math, who want to start learning AI.

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