Overview
- A very practical, hands-on Python book with several projects or case studies to build
- Come away with real-world templates that you may re-purpose for your own coding projects
- Written by an industry expert and teacher
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Table of contents (7 chapters)
Keywords
About this book
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.
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Practical Python AI Projects
Book Subtitle: Mathematical Models of Optimization Problems with Google OR-Tools
Authors: Serge Kruk
DOI: https://doi.org/10.1007/978-1-4842-3423-5
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Apress Access Books, Professional and Applied Computing (R0)
Copyright Information: Serge Kruk 2018
Softcover ISBN: 978-1-4842-3422-8Published: 27 February 2018
eBook ISBN: 978-1-4842-3423-5Published: 26 February 2018
Edition Number: 1
Number of Pages: XIII, 279
Number of Illustrations: 26 b/w illustrations
Topics: Python, Mathematics of Computing, Programming Techniques