AI Crash Course: A fun and hands-on introduction to machine learning,reinforcement learning,deep learning,and artificial intelligence with Python
Authors: Hadelin de Ponteves
ISBN-10: 1838645357
ISBN-13: 9781838645359
Released: 2019-11-29
Print Length 页数: 360 pages
Book Description
This friendly and accessible guide to AI theory and programming in Python requires no maths or data science background.
AI is changing the world – and with this book,anyone can start building intelligent software!
Through his best-selling video courses,Hadelin de Ponteves has taught hundreds of thousands of people to write AI software. Now,for the first time,his hands-on,energetic approach is available as a book. Taking a graduated approach that starts with the basics before easing readers into more complicated formulas and notation,Hadelin helps you understand what you really need to build AI systems with reinforcement learning and deep learning. Five full working projects put the ideas into action,showing step-by-step how to build intelligent software using the best and easiest tools for AI programming:
Google Colab
Python
TensorFlow
Keras
PyTorch
AI Crash Course teaches everyone to build an AI to work in their applications. Once you’ve read this book,you’re only limited by your imagination.
What you will learn
Master the key skills of deep learning,reinforcement learning,and deep reinforcement learning
Understand Q-learning and deep Q-learning
Learn from friendly,plain English explanations and practical activities
Build fun projects,including a virtual-self-driving car
Use AI to solve real-world business problems and win classic video games
Build an intelligent,virtual robot warehouse worker
Contents
Preface
Chapter 1: Welcome to the Robot World
Chapter 2: Discover Your Al Toolkit
Chapter 3: Python Fundamentals-Learn How to Code in Python
Chapter 4: Al Foundation Techniques
Chapter 5: Your First Al Model-Beware the Bandits!
Chapter 6: Al for Sales and Advertising-Sell like the Wolf of Al Street
Chapter 7: Welcome to Q-Learning
Chapter 8: Al for Logistics-Robots in a Warehouse
Chapter 9: Going Pro with Artificial Brains-Deep Q-Learning
Chapter 10: Al for Autonomous Vehicles-Build a Self-Driving Car
Chapter 11: Al for Business-Minimize Costs with Deep Q-Learning
Chapter 12: Deep Convolutional Q-Learning
Chapter 13: Al for Games-Become the Master at Snake
Chapter 14: Recap and Conclusion
Other Books You May Enjoy
Index
