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£37.99

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

Name: Practical Python AI Projects: Mathematical Models of Optimization Problems with Google OR-Tools
Brand: Apress
Price: 37.99 GBP
Availability: InStock

Introduction to Programming

About as cheap as it gets. The only time it was cheaper was 1 month ago.

£38 today · all-time low £37 (Jun 2026) · usually £38

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Description

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 withmathematical 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.

Product Specifications

Brand: Apress
Format: paperback
ASIN: 1484234227
Category: Books > Subjects > Computing & Internet > Programming > Introduction to Programming
Domain: Amazon UK
Release Date: 27 February 2018
Listed Since: 23 November 2017

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

About as cheap as it gets. The only time it was cheaper was 1 month ago.

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