Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/1393
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dc.contributor.authorKruk, Serge. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:28:25Z-
dc.date.available2020-05-17T08:28:25Z-
dc.date.issued2018en_US
dc.identifier.isbn9781484234235 ;en_US
dc.identifier.isbn9781484234228 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/1393-
dc.descriptionen_US
dc.descriptionQA76en_US
dc.descriptionPrinted edition: ; 9781484234228. ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.description.abstractDiscover 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,ePractical 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) applicationse Work with mathematical optimization methods and the Google OR-Tools (Optimization Tools) suite Create several types of projects using Python and Google OR-Tools. ;en_US
dc.description.statementofresponsibilityby Serge Kruk.en_US
dc.description.tableofcontents1: 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. ;en_US
dc.format.extentXIII, 279 p. 26 illus. ; online resource. ;en_US
dc.publisherApress :en_US
dc.publisherImprint: Apress,en_US
dc.relation.haspart9781484234228.pdfen_US
dc.subjectComputer Scienceen_US
dc.subjectComputer Programmingen_US
dc.subjectComputer Science and Mathematicsen_US
dc.subjectComputer Scienceen_US
dc.subjectPython. ;en_US
dc.subjectMathematics of Computing. ;en_US
dc.subjectProgramming Techniquesen_US
dc.titlePractical Python AI Projectsen_US
dc.title.alternativeMathematical Models of Optimization Problems with Google OR-Tools /en_US
dc.typeBooken_US
dc.publisher.placeBerkeley, CA :en_US
Appears in Collections:مدیریت فناوری اطلاعات

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Full metadata record
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dc.contributor.authorKruk, Serge. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:28:25Z-
dc.date.available2020-05-17T08:28:25Z-
dc.date.issued2018en_US
dc.identifier.isbn9781484234235 ;en_US
dc.identifier.isbn9781484234228 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/1393-
dc.descriptionen_US
dc.descriptionQA76en_US
dc.descriptionPrinted edition: ; 9781484234228. ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.description.abstractDiscover 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,ePractical 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) applicationse Work with mathematical optimization methods and the Google OR-Tools (Optimization Tools) suite Create several types of projects using Python and Google OR-Tools. ;en_US
dc.description.statementofresponsibilityby Serge Kruk.en_US
dc.description.tableofcontents1: 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. ;en_US
dc.format.extentXIII, 279 p. 26 illus. ; online resource. ;en_US
dc.publisherApress :en_US
dc.publisherImprint: Apress,en_US
dc.relation.haspart9781484234228.pdfen_US
dc.subjectComputer Scienceen_US
dc.subjectComputer Programmingen_US
dc.subjectComputer Science and Mathematicsen_US
dc.subjectComputer Scienceen_US
dc.subjectPython. ;en_US
dc.subjectMathematics of Computing. ;en_US
dc.subjectProgramming Techniquesen_US
dc.titlePractical Python AI Projectsen_US
dc.title.alternativeMathematical Models of Optimization Problems with Google OR-Tools /en_US
dc.typeBooken_US
dc.publisher.placeBerkeley, CA :en_US
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9781484234228.pdf3.95 MBAdobe PDFThumbnail
Preview File
Full metadata record
DC FieldValueLanguage
dc.contributor.authorKruk, Serge. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:28:25Z-
dc.date.available2020-05-17T08:28:25Z-
dc.date.issued2018en_US
dc.identifier.isbn9781484234235 ;en_US
dc.identifier.isbn9781484234228 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/1393-
dc.descriptionen_US
dc.descriptionQA76en_US
dc.descriptionPrinted edition: ; 9781484234228. ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.description.abstractDiscover 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,ePractical 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) applicationse Work with mathematical optimization methods and the Google OR-Tools (Optimization Tools) suite Create several types of projects using Python and Google OR-Tools. ;en_US
dc.description.statementofresponsibilityby Serge Kruk.en_US
dc.description.tableofcontents1: 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. ;en_US
dc.format.extentXIII, 279 p. 26 illus. ; online resource. ;en_US
dc.publisherApress :en_US
dc.publisherImprint: Apress,en_US
dc.relation.haspart9781484234228.pdfen_US
dc.subjectComputer Scienceen_US
dc.subjectComputer Programmingen_US
dc.subjectComputer Science and Mathematicsen_US
dc.subjectComputer Scienceen_US
dc.subjectPython. ;en_US
dc.subjectMathematics of Computing. ;en_US
dc.subjectProgramming Techniquesen_US
dc.titlePractical Python AI Projectsen_US
dc.title.alternativeMathematical Models of Optimization Problems with Google OR-Tools /en_US
dc.typeBooken_US
dc.publisher.placeBerkeley, CA :en_US
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9781484234228.pdf3.95 MBAdobe PDFThumbnail
Preview File