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. 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. Front Matter ....Pages i-xiii Introduction (Serge Kruk)....Pages 1-18 Linear Continuous Models (Serge Kruk)....Pages 19-61 Hidden Linear Continuous Models (Serge Kruk)....Pages 63-88 Linear Network Models (Serge Kruk)....Pages 89-124 Classic Discrete Models (Serge Kruk)....Pages 125-160 Classic Mixed Models (Serge Kruk)....Pages 161-189 Advanced Techniques (Serge Kruk)....Pages 191-269 Back Matter ....Pages 271-279