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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

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If you enjoyed this book, you may be interested in these other books by Packt:

Python Machine Learning - Third Edition

Sebastian Raschka, Vahid Mirjalili

ISBN: 978-1-78995-575-0

  • Master the frameworks, models, and techniques that enable machines to 'learn' from data
  • Use scikit-learn for machine learning and TensorFlow for deep learning
  • Apply machine learning to image classification, sentiment analysis, intelligent web applications, and more
  • Build and train neural networks, GANs, and other models
  • Add machine intelligence to web applications
  • Clean and prepare data for machine learning
  • Classify images using deep convolutional neural networks
  • Best practices for evaluating and tuning models
  • Predict continuous target outcomes using regression analysis
  • Uncover hidden patterns and structures in data with clustering
  • Dig deeper into textual and social media data using sentiment analysis
  • ...
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