Practical Python AI projects : mathematical models of optimization problems with Google or-tools / [edited by] Serge Kruk.

Material type: Text

TextPublisher: New York, NY : Springer Science+Business Media, 2018Description: 279 pages ; illustrations : 23 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9781484234228 (hard : alk. paper)

Subject(s):

DDC classification:

23 005.133 P

Contents:

Summary: 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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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Books	Main library A1	CSCS \| CSIS	005.133 P (Browse shelf(Opens below))	Available		00015134

Introduction -- Linear continuous models -- Hidden linear
continuous models -- Linear network models -- Classic
discrete models -- Classic mixed models -- 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

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