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Practical Python AI Projects : mathematical models of optimization problems with google OR-tools / by Serge Kruk.

By: Material type: TextTextPublication details: New York : Apress , 2020.Edition: 1st edDescription: xiii,279p. ; 23.5 cmContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781484234235
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 005.1372 1 KRUS
Contents:
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.
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 Barcode
Book Book St Aloysius Institute of Management & Information Technology MCA 005.1372 KRUS (Browse shelf(Opens below)) Available MCA17073
Total holds: 0

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.

Description based on publisher-supplied MARC data.

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