Preface
Chapter 1:Welcome to the Robot World
Beginning the AI journey
Four different AI models
The models in practice
Fundamentals
Thompson Sampling
Q-learning
Deep Q-learning
Deep convolutional Q-learning
Where can learning AI take you?
Energy
Healthcare
Transport and logistics
Education
Security
Employment
Smart homes and robots
Entertainment and happiness
Environment
Economy, business, and finance
Summary
Chapter 2: Discover Your AI Toolkit
The GitHub page
Colaboratory
Summary
Chapter 3: Python Fundamentals-Learn How to Code in Python
Displaying text
Exercise
Variables and operations
Exerc=se
Lists and arrays
Exercise
if statements and conditions
Exercise
for and while loops
Exercise
Functions
Exercise
Classes and objects
Exercise
Summary
Chapter 4: AI Foundation Techniques
What is Reinforcement Learning?
The five principles of Reinforcement Learning
Principle #1 - The input and output system
Principle #2 - The reward
Principle #3 - The AI environment
Principle #4 - The Markov decision process
Principle #5 - Training and inference
