Practical Python AI Projects: Mathematical Models of Optimization Problems with Google OR-Tools

Discover the art and science of solving artificial intelligence problems with Python using optimization modeling. This book covers the practical creation and analysis of mathematical algebraic models such as linear continuous models, non-obviously linear continuous models,

and pure linear integer models. Rather than focus on theory, Practical Python AI Projects, the product of the author’s decades of industry teaching and consulting, stresses the model creation aspect; contrasting alternate approaches and practical variations.

Each model is explained thoroughly and written to be executed. The source code from all examples in the book is available, written in Python using Google OR-Tools. It also includes a random problem generator, useful for industry application or study.

What You Will Learn

• Build basic Python-based artificial intelligence (AI) applications
• Work with mathematical optimization methods and the Google OR-Tools (Optimization Tools) suite
• Create several types of projects using Python and Google OR-Tools

Who This Book Is For

Developers and students who already have prior experience in Python coding. Some prior mathematical experience or comfort level may be helpful as well.

Table of Contents

Chapter 1: Introduction
Chapter 2: Linear Continuous Models
Chapter 3: Hidden Linear Continuous Models
Chapter 4: Linear Network Models
Chapter 5: Classic Discrete Models
Chapter 6: Classic Mixed Models
Chapter 7: Advanced Techniques