Please use this identifier to cite or link to this item:
http://localhost/handle/Hannan/1393
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kruk, Serge. ; | en_US |
dc.date.accessioned | 2013 | en_US |
dc.date.accessioned | 2020-05-17T08:28:25Z | - |
dc.date.available | 2020-05-17T08:28:25Z | - |
dc.date.issued | 2018 | en_US |
dc.identifier.isbn | 9781484234235 ; | en_US |
dc.identifier.isbn | 9781484234228 (print) ; | en_US |
dc.identifier.uri | http://localhost/handle/Hannan/1393 | - |
dc.description | en_US | |
dc.description | QA76 | en_US |
dc.description | Printed edition: ; 9781484234228. ; | en_US |
dc.description | en_US | |
dc.description | en_US | |
dc.description | en_US | |
dc.description | SpringerLink (Online service) ; | en_US |
dc.description | en_US | |
dc.description | en_US | |
dc.description.abstract | 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,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.statementofresponsibility | by Serge Kruk. | en_US |
dc.description.tableofcontents | 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. ; | en_US |
dc.format.extent | XIII, 279 p. 26 illus. ; online resource. ; | en_US |
dc.publisher | Apress : | en_US |
dc.publisher | Imprint: Apress, | en_US |
dc.relation.haspart | 9781484234228.pdf | en_US |
dc.subject | Computer Science | en_US |
dc.subject | Computer Programming | en_US |
dc.subject | Computer Science and Mathematics | en_US |
dc.subject | Computer Science | en_US |
dc.subject | Python. ; | en_US |
dc.subject | Mathematics of Computing. ; | en_US |
dc.subject | Programming Techniques | en_US |
dc.title | Practical Python AI Projects | en_US |
dc.title.alternative | Mathematical Models of Optimization Problems with Google OR-Tools / | en_US |
dc.type | Book | en_US |
dc.publisher.place | Berkeley, CA : | en_US |
Appears in Collections: | مدیریت فناوری اطلاعات |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
9781484234228.pdf | 3.95 MB | Adobe PDF | Preview File |
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kruk, Serge. ; | en_US |
dc.date.accessioned | 2013 | en_US |
dc.date.accessioned | 2020-05-17T08:28:25Z | - |
dc.date.available | 2020-05-17T08:28:25Z | - |
dc.date.issued | 2018 | en_US |
dc.identifier.isbn | 9781484234235 ; | en_US |
dc.identifier.isbn | 9781484234228 (print) ; | en_US |
dc.identifier.uri | http://localhost/handle/Hannan/1393 | - |
dc.description | en_US | |
dc.description | QA76 | en_US |
dc.description | Printed edition: ; 9781484234228. ; | en_US |
dc.description | en_US | |
dc.description | en_US | |
dc.description | en_US | |
dc.description | SpringerLink (Online service) ; | en_US |
dc.description | en_US | |
dc.description | en_US | |
dc.description.abstract | 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,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.statementofresponsibility | by Serge Kruk. | en_US |
dc.description.tableofcontents | 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. ; | en_US |
dc.format.extent | XIII, 279 p. 26 illus. ; online resource. ; | en_US |
dc.publisher | Apress : | en_US |
dc.publisher | Imprint: Apress, | en_US |
dc.relation.haspart | 9781484234228.pdf | en_US |
dc.subject | Computer Science | en_US |
dc.subject | Computer Programming | en_US |
dc.subject | Computer Science and Mathematics | en_US |
dc.subject | Computer Science | en_US |
dc.subject | Python. ; | en_US |
dc.subject | Mathematics of Computing. ; | en_US |
dc.subject | Programming Techniques | en_US |
dc.title | Practical Python AI Projects | en_US |
dc.title.alternative | Mathematical Models of Optimization Problems with Google OR-Tools / | en_US |
dc.type | Book | en_US |
dc.publisher.place | Berkeley, CA : | en_US |
Appears in Collections: | مدیریت فناوری اطلاعات |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
9781484234228.pdf | 3.95 MB | Adobe PDF | Preview File |
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kruk, Serge. ; | en_US |
dc.date.accessioned | 2013 | en_US |
dc.date.accessioned | 2020-05-17T08:28:25Z | - |
dc.date.available | 2020-05-17T08:28:25Z | - |
dc.date.issued | 2018 | en_US |
dc.identifier.isbn | 9781484234235 ; | en_US |
dc.identifier.isbn | 9781484234228 (print) ; | en_US |
dc.identifier.uri | http://localhost/handle/Hannan/1393 | - |
dc.description | en_US | |
dc.description | QA76 | en_US |
dc.description | Printed edition: ; 9781484234228. ; | en_US |
dc.description | en_US | |
dc.description | en_US | |
dc.description | en_US | |
dc.description | SpringerLink (Online service) ; | en_US |
dc.description | en_US | |
dc.description | en_US | |
dc.description.abstract | 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,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.statementofresponsibility | by Serge Kruk. | en_US |
dc.description.tableofcontents | 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. ; | en_US |
dc.format.extent | XIII, 279 p. 26 illus. ; online resource. ; | en_US |
dc.publisher | Apress : | en_US |
dc.publisher | Imprint: Apress, | en_US |
dc.relation.haspart | 9781484234228.pdf | en_US |
dc.subject | Computer Science | en_US |
dc.subject | Computer Programming | en_US |
dc.subject | Computer Science and Mathematics | en_US |
dc.subject | Computer Science | en_US |
dc.subject | Python. ; | en_US |
dc.subject | Mathematics of Computing. ; | en_US |
dc.subject | Programming Techniques | en_US |
dc.title | Practical Python AI Projects | en_US |
dc.title.alternative | Mathematical Models of Optimization Problems with Google OR-Tools / | en_US |
dc.type | Book | en_US |
dc.publisher.place | Berkeley, CA : | en_US |
Appears in Collections: | مدیریت فناوری اطلاعات |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
9781484234228.pdf | 3.95 MB | Adobe PDF | Preview File |