Grokking Artificial Intelligence Algorithms (1 ed)

Description

Grokking Artificial Intelligence Algorithms: Understand and apply the core algorithms of deep learning and artificial intelligence in this friendly illustrated guide including exercises and examples 1st Edition

”This book takes an impossibly broad area of computer science and communicates what working developers need to understand clearly and thoroughly.” – David Jacobs, Product Advance Local

Key Features

• Master the core algorithms of deep learning and AI.
  
• Build an intuitive understanding of AI problems and solutions.
  
• Written in simple language, with lots of illustrations and hands-on examples
  
• Creative coding exercises, including building a maze puzzle game and exploring drone optimization

About The Book

“Artificial intelligence” requires teaching a computer how to approach different types of problems systematically. The core of AI is the algorithms that the system uses to do things like identifying objects in an image, interpreting the meaning of text, or looking for patterns in data to spot fraud and other anomalies. Mastering the core algorithms for search, image recognition, and other common tasks is essential to building successful AI applications.

Grokking Artificial Intelligence Algorithms uses illustrations, exercises, and jargon-free explanations to teach fundamental AI concepts. You’ll explore coding challenges like detecting bank fraud, creating artistic masterpieces, and setting a self-driving car in motion. All you need is the algebra you remember from high school math class and beginning programming skills.

What You Will Learn

• Use cases for different AI algorithms
• Intelligent search for decision-making
• Biologically inspired algorithms
• Machine learning and neural networks
• Reinforcement learning to build a better robot

This book was written for

For software developers with high school–level math skills.

Table of Contents

1. Intuition of artificial intelligence
2. Search fundamentals
3. Intelligent search
4. Evolutionary algorithms
5. Advanced evolutionary approaches
6. Swarm intelligence: Ants
7. Swarm intelligence: Particles
8. Machine learning
9. Artificial neural networks
10. Reinforcement learning with Q-learning.