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Practical Python AI projectsmathemat...
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Kruk, Serge.
Practical Python AI projectsmathematical models of optimization problems with Google OR-tools /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Practical Python AI projectsby Serge Kruk.
Reminder of title:
mathematical models of optimization problems with Google OR-tools /
Author:
Kruk, Serge.
Published:
Berkeley, CA :Apress :2018.
Description:
xiii, 279 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Python (Computer program language)
Online resource:
http://dx.doi.org/10.1007/978-1-4842-3423-5
ISBN:
9781484234235$q(electronic bk.)
Practical Python AI projectsmathematical models of optimization problems with Google OR-tools /
Kruk, Serge.
Practical Python AI projects
mathematical models of optimization problems with Google OR-tools /[electronic resource] :by Serge Kruk. - Berkeley, CA :Apress :2018. - xiii, 279 p. :ill., digital ;24 cm.
1: Introduction -- 2: Linear Continuous Models -- 3: Hidden Linear Continuous Models -- 4: Linear Network Models -- 5: Classic Discrete Models -- 6: Classic Mixed Models -- 7: Advanced Techniques.
Discover the art and science of solving artificial intelligence problems with Python using optimization modeling. This book covers the practical creation and analysis of mathematical algebraic models such as linear continuous models, non-obviously linear continuous models, and pure linear integer models. Rather than focus on theory, Practical Python AI Projects, the product of the author's decades of industry teaching and consulting, stresses the model creation aspect; contrasting alternate approaches and practical variations. Each model is explained thoroughly and written to be executed. The source code from all examples in the book is available, written in Python using Google OR-Tools. It also includes a random problem generator, useful for industry application or study. You will: Build basic Python-based artificial intelligence (AI) applications Work with mathematical optimization methods and the Google OR-Tools (Optimization Tools) suite Create several types of projects using Python and Google OR-Tools.
ISBN: 9781484234235$q(electronic bk.)
Standard No.: 10.1007/978-1-4842-3423-5doiSubjects--Topical Terms:
215247
Python (Computer program language)
LC Class. No.: QA76.73.P98
Dewey Class. No.: 005.133
Practical Python AI projectsmathematical models of optimization problems with Google OR-tools /
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1: Introduction -- 2: Linear Continuous Models -- 3: Hidden Linear Continuous Models -- 4: Linear Network Models -- 5: Classic Discrete Models -- 6: Classic Mixed Models -- 7: Advanced Techniques.
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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. You will: 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.
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