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  • Book Overview & Buying AI Crash Course
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AI Crash Course

AI Crash Course

By : Hadelin de Ponteves
4 (23)
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AI Crash Course

AI Crash Course

4 (23)
By: Hadelin de Ponteves
Buy this Book

Overview of this book

Welcome to the Robot World … and start building intelligent software now! 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. Starting with the basics before easing you into more complicated formulas and notation, AI Crash Course gives you everything you 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, including Python, TensorFlow, Keras, and 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.
Table of Contents (17 chapters)
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Preface
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Preface
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Who this book is for
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What this book covers
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To get the most out of this book
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Get in touch
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1
Welcome to the Robot World
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Welcome to the Robot World
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Beginning the AI journey
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Four different AI models
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Where can learning AI take you?
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Summary
2
Discover Your AI Toolkit
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Discover Your AI Toolkit
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The GitHub page
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Colaboratory
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Summary
3
Python Fundamentals – Learn How to Code in Python
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Python Fundamentals – Learn How to Code in Python
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Displaying text
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Variables and operations
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Lists and arrays
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if statements and conditions
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for and while loops
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Functions
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Classes and objects
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Summary
4
AI Foundation Techniques
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AI Foundation Techniques
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What is Reinforcement Learning?
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The five principles of Reinforcement Learning
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Summary
5
Your First AI Model – Beware the Bandits!
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Your First AI Model – Beware the Bandits!
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The multi-armed bandit problem
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The Thompson Sampling model
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Summary
6
AI for Sales and Advertising – Sell like the Wolf of AI Street
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AI for Sales and Advertising – Sell like the Wolf of AI Street
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Problem to solve
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Building the environment inside a simulation
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AI solution and intuition refresher
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Implementation
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Summary
7
Welcome to Q-Learning
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Welcome to Q-Learning
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The Maze
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The whole Q-learning process
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Summary
8
AI for Logistics – Robots in a Warehouse
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AI for Logistics – Robots in a Warehouse
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Building the environment
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Implementation
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Summary
9
Going Pro with Artificial Brains – Deep Q-Learning
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Going Pro with Artificial Brains – Deep Q-Learning
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Predicting house prices
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Deep learning theory
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Deep Q-learning
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Summary
10
AI for Autonomous Vehicles – Build a Self-Driving Car
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AI for Autonomous Vehicles – Build a Self-Driving Car
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Building the environment
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AI solution refresher
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Implementation
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The demo
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Summary
11
AI for Business – Minimize Costs with Deep Q-Learning
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AI for Business – Minimize Costs with Deep Q-Learning
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Problem to solve
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Building the environment
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AI solution
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The demo
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Recap – The general AI framework/Blueprint
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Summary
12
Deep Convolutional Q-Learning
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Deep Convolutional Q-Learning
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What are CNNs used for?
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How do CNNs work?
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Deep convolutional Q-learning
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Summary
13
AI for Games – Become the Master at Snake
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AI for Games – Become the Master at Snake
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Problem to solve
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Building the environment
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AI solution
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Implementation
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The demo
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Summary
14
Recap and Conclusion
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Recap and Conclusion
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Recap – The general AI framework/blueprint
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Exploring what's next for you in AI
15
Other Books You May Enjoy
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Other Books You May Enjoy
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Leave a review - let other readers know what you think
16
Index
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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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Tech Concepts
36
Programming languages
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