Pragmatic Introduction Cloud Based Machine by Noah Gift (29 results)
- Softcover
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.World of Books (was SecondSale)
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- Softcover
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- Softcover
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- Softcover
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- Softcover
- International Edition
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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 print…ed 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.
- Softcover
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- Softcover
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- Softcover
- First Edition
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- Softcover
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Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Language: English
Published by Pearson,, 2019
- Softcover
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- Softcover
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Language: English
Published by Pearson International, Pearson Business Aug 2018, 2018
- Softcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Master Powerful Off-the-Shelf Business Solutions for AI and Machine LearningPragmatic AI will help you solve real-world problems with contemporary machine learning, artificial intelligence, and cloud computing tools. Noah Gift demys…tifies all the concepts and tools you need to get results even if you don t have a strong background in math or data science.Gift illuminates powerful off-the-shelf cloud offerings from Amazon, Google, and Microsoft, and demonstrates proven techniques using the Python data science ecosystem. His workflows and examples help you streamline and simplify every step, from deployment to production, and build exceptionally scalable solutions. As you learn how machine language (ML) solutions work, you ll gain a more intuitive understanding of what you can achieve with them and how to maximize their value.Building on these fundamentals, you ll walk step-by-step through building cloud-based AI/ML applications to address realistic issues in sports marketing, project management, product pricing, real estate, and beyond. Whether you re a business professional, decision-maker, student, or programmer, Gift s expert guidance and wide-ranging case studies will prepare you to solve data science problems in virtually any environment.Get and configure all the tools you ll needQuickly review all the Python you need to start building machine learning applicationsMaster the AI and ML toolchain and project lifecycleWork with Python data science tools such as IPython, Pandas, Numpy, Juypter Notebook, and SklearnIncorporate a pragmatic feedback loop that continually improves the efficiency of your workflows and systemsDevelop cloud AI solutions with Google Cloud Platform, including TPU, Colaboratory, and Datalab servicesDefine Amazon Web Services cloud AI workflows, including spot instances, code pipelines, boto, and moreWork with Microsoft Azure AI APIsWalk through building six real-world AI applications, from start to finish Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details. 272 pp. Englisch.
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Language: English
Published by Pearson International, Pearson Aug 2018, 2018
- Softcover
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Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Master Powerful Off-the-Shelf Business Solutions for AI and Machine LearningPragmatic AI will help you solve real-world problems with contemporary machine learning, artificial intelligence, and cloud computing tools. Noah Gift demystifi…es all the concepts and tools you need to get resultseven if you don't have a strong background in math or data science.Gift illuminates powerful off-the-shelf cloud offerings from Amazon, Google, and Microsoft, and demonstrates proven techniques using the Python data science ecosystem. His workflows and examples help you streamline and simplify every step, from deployment to production, and build exceptionally scalable solutions. As you learn how machine language (ML) solutions work, you'll gain a more intuitive understanding of what you can achieve with them and how to maximize their value.Building on these fundamentals, you'll walk step-by-step through building cloud-based AI/ML applications to address realistic issues in sports marketing, project management, product pricing, real estate, and beyond. Whether you're a business professional, decision-maker, student, or programmer, Gift's expert guidance and wide-ranging case studies will prepare you to solve data science problems in virtually any environment.Get and configure all the tools you'll needQuickly review all the Python you need to start building machine learning applicationsMaster the AI and ML toolchain and project lifecycleWork with Python data science tools such as IPython, Pandas, Numpy, Juypter Notebook, and SklearnIncorporate a pragmatic feedback loop that continually improves the efficiency of your workflows and systemsDevelop cloud AI solutions with Google Cloud Platform, including TPU, Colaboratory, and Datalab servicesDefine Amazon Web Services cloud AI workflows, including spot instances, code pipelines, boto, and moreWork with Microsoft Azure AI APIsWalk through building six real-world AI applications, from start to finish Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.Financial Times Prent., St.-Martin-Straße 82, 81541 München 272 pp. Englisch.
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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Master Powerful Off-the-Shelf Business Solutions for AI and Machine LearningPragmatic AI will help you solve real-world problems with contemporary machine learning, artificial intelligence, and cloud computing tools. Noah Gift demystifie…s all the concepts and tools you need to get results even if you don t have a strong background in math or data science.Gift illuminates powerful off-the-shelf cloud offerings from Amazon, Google, and Microsoft, and demonstrates proven techniques using the Python data science ecosystem. His workflows and examples help you streamline and simplify every step, from deployment to production, and build exceptionally scalable solutions. As you learn how machine language (ML) solutions work, you ll gain a more intuitive understanding of what you can achieve with them and how to maximize their value.Building on these fundamentals, you ll walk step-by-step through building cloud-based AI/ML applications to address realistic issues in sports marketing, project management, product pricing, real estate, and beyond. Whether you re a business professional, decision-maker, student, or programmer, Gift s expert guidance and wide-ranging case studies will prepare you to solve data science problems in virtually any environment.Get and configure all the tools you ll needQuickly review all the Python you need to start building machine learning applicationsMaster the AI and ML toolchain and project lifecycleWork with Python data science tools such as IPython, Pandas, Numpy, Juypter Notebook, and SklearnIncorporate a pragmatic feedback loop that continually improves the efficiency of your workflows and systemsDevelop cloud AI solutions with Google Cloud Platform, including TPU, Colaboratory, and Datalab servicesDefine Amazon Web Services cloud AI workflows, including spot instances, code pipelines, boto, and moreWork with Microsoft Azure AI APIsWalk through building six real-world AI applications, from start to finish Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
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Seller: preigu, Osnabrück, Germanypreigu
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Taschenbuch. Condition: Neu. Pragmatic AI: An Introduction to Cloud-Based Machine Learning | Noah Gift | Taschenbuch | 256 S. | Englisch | 2019 | Pearson International | EAN 9780134863863 | Verantwortliche Person für die EU: Pearson Studium im Verlag Pearson Benelux B.V. Zweigniederla, Sankt-Martin-Str. 82, 81541 München, buchha…ndel[at]pearson[dot]com | Anbieter: preigu Print on Demand.









