Practical Python Projects by Serge Kruk (30 results)

Condition: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.

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Paperback or Softback. Condition: New. Practical Python AI Projects: Mathematical Models of Optimization Problems with Google Or-Tools 0.92. Book.

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Paperback. Condition: New. 1st ed. 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.What You Will LearnBuild basic Python-based artificial intelligence (AI) applications Work withmathematical optimization methods and the Google OR-Tools (Optimization Tools) suiteCreate several types of projects using Python and Google OR-ToolsWho This Book Is ForDevelopers and students who already have prior experience in Python coding. Some prior mathematical experience or comfort level may be helpful as well.

Paperback. Condition: new. Paperback. 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.What You Will LearnBuild basic Python-based artificial intelligence (AI) applications Work withmathematical optimization methods and the Google OR-Tools (Optimization Tools) suiteCreate several types of projects using Python and Google OR-ToolsWho This Book Is ForDevelopers and students who already have prior experience in Python coding. Some prior mathematical experience or comfort level may be helpful as well. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,600grams, ISBN:9781484234228.

Paperback. Condition: New. 1st ed. 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.What You Will LearnBuild basic Python-based artificial intelligence (AI) applications Work withmathematical optimization methods and the Google OR-Tools (Optimization Tools) suiteCreate several types of projects using Python and Google OR-ToolsWho This Book Is ForDevelopers and students who already have prior experience in Python coding. Some prior mathematical experience or comfort level may be helpful as well.

Condition: As New. Unread book in perfect condition.

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Condition: New. In English.

Condition: New. 2018. 1st ed. Paperback. . . . . .

Paperback. Condition: New.

Condition: New. 2018. 1st ed. Paperback. . . . . . Books ship from the US and Ireland.

Paperback. Condition: Brand New. 279 pages. 9.00x6.00x0.75 inches. In Stock.

Condition: New. pp. 279.

Paperback. Condition: New. 1st ed. 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.What You Will LearnBuild basic Python-based artificial intelligence (AI) applications Work withmathematical optimization methods and the Google OR-Tools (Optimization Tools) suiteCreate several types of projects using Python and Google OR-ToolsWho This Book Is ForDevelopers and students who already have prior experience in Python coding. Some prior mathematical experience or comfort level may be helpful as well.

Taschenbuch. Condition: Neu. Neuware -Developers and students who already have prior experience in Python coding. Some prior mathematical experience or comfort level may be helpful as well.APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 296 pp. Englisch.

Paperback. Condition: New. 1st ed. 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.What You Will LearnBuild basic Python-based artificial intelligence (AI) applications Work withmathematical optimization methods and the Google OR-Tools (Optimization Tools) suiteCreate several types of projects using Python and Google OR-ToolsWho This Book Is ForDevelopers and students who already have prior experience in Python coding. Some prior mathematical experience or comfort level may be helpful as well.

Paperback. Condition: new. Paperback. 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.What You Will LearnBuild basic Python-based artificial intelligence (AI) applications Work withmathematical optimization methods and the Google OR-Tools (Optimization Tools) suiteCreate several types of projects using Python and Google OR-ToolsWho This Book Is ForDevelopers and students who already have prior experience in Python coding. Some prior mathematical experience or comfort level may be helpful as well. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

paperback. Condition: New. Paperback. Pub Date:2021-06-01 Pages:240 Publisher: Beijing University of Aeronautics and Astronautics Press This book starts with the basic principles of machine learning. then neural networks. deep learning. and finally convolutional neural networks.?On the basis of explaining the principles. this book uses MATLAB as the development tool and programming language. The principles involved in deep learning are all simulated and practiced with MATLAB. and all the examples in the book are progra.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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.What You Will LearnBuild basic Python-based artificial intelligence (AI) applicationsWork withmathematical optimization methods and the Google OR-Tools (Optimization Tools) suiteCreate several types of projects using Python and Google OR-ToolsWho This Book Is ForDevelopers and students who already have prior experience in Python coding. Some prior mathematical experience or comfort level may be helpful as well. 296 pp. Englisch.

Condition: New. Print on Demand pp. 279.

Condition: New. PRINT ON DEMAND pp. 279.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. A very practical, hands-on Python book with several projects or case studies to buildCome away with real-world templates that you may re-purpose for your own coding projectsWritten by an industry expert and teacher.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.What You Will LearnBuild basic Python-based artificial intelligence (AI) applicationsWork withmathematical optimization methods and the Google OR-Tools (Optimization Tools) suiteCreate several types of projects using Python and Google OR-ToolsWho This Book Is ForDevelopers and students who already have prior experience in Python coding. Some prior mathematical experience or comfort level may be helpful as well.