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Pragmatic AI : = an introduction to ...
~
Gift, Noah.
Pragmatic AI : = an introduction to cloud-based machine learning /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Pragmatic AI :/ Noah Gift.
其他題名:
an introduction to cloud-based machine learning /
其他題名:
Pragmatic artificial intelligence
作者:
Gift, Noah.
出版者:
Boston :Addison Wesley, : c2019.,
面頁冊數:
xvii, 248 p. :ill. ; : 24 cm.;
附註:
Includes index.
標題:
Machine learning. -
ISBN:
0134863860 (pbk.)
Pragmatic AI : = an introduction to cloud-based machine learning /
Gift, Noah.
Pragmatic AI :
an introduction to cloud-based machine learning /Pragmatic artificial intelligenceNoah Gift. - Boston :Addison Wesley,c2019. - xvii, 248 p. :ill. ;24 cm. - Addison Wesley data & analytics series. - Addison Wesley data and analytics series..
Includes index.
I: Introduction to pragmatic AI -- 1. Introduction to pragmatic AI -- 2. AI and ML toolchain -- 3. Spartan AI lifecycle -- II: AI in the cloud -- 4. Cloud AI development with Google cloud platform -- 5. Cloud AI development with Amazon web services -- III: Creating practical AI applications from scratch -- 6. Predicting social-media influence in the NBA -- 7. Creating an intelligent slackbot on AWS -- 8. Finding project management insights from a GitHub organization -- 9. Dynamically optimizing EC2 instances on AWS -- 10. Real estate -- 11. Production AI for user-generated content -- A: AI accelerators -- B: Deciding on cluster size.
Master Powerful Off-the-Shelf Business Solutions for AI and Machine Learning. Pragmatic AI will help you solve real-world problems with contemporary machine learning, artificial intelligence, and cloud computing tools. Noah Gift demystifies 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. Features: Get and configure all the tools you'll need; Quickly review all the Python you need to start building machine learning applications; Master the AI and ML toolchain and project lifecycle; Work with Python data science tools such as IPython, Pandas, Numpy, Juypter Notebook, and Sklearn; Incorporate a pragmatic feedback loop that continually improves the efficiency of your workflows and systems; Develop cloud AI solutions with Google Cloud Platform, including TPU, Colaboratory, and Datalab services; Define Amazon Web Services cloud AI workflows, including spot instances, code pipelines, boto, and more; Work with Microsoft Azure AI APIs; Walk through building six real-world AI applications, from start to finish.
ISBN: 0134863860 (pbk.)Subjects--Topical Terms:
561253
Machine learning.
LC Class. No.: QA76.585 / .G54 2019
Dewey Class. No.: 004.6782
Pragmatic AI : = an introduction to cloud-based machine learning /
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Master Powerful Off-the-Shelf Business Solutions for AI and Machine Learning. Pragmatic AI will help you solve real-world problems with contemporary machine learning, artificial intelligence, and cloud computing tools. Noah Gift demystifies 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. Features: Get and configure all the tools you'll need; Quickly review all the Python you need to start building machine learning applications; Master the AI and ML toolchain and project lifecycle; Work with Python data science tools such as IPython, Pandas, Numpy, Juypter Notebook, and Sklearn; Incorporate a pragmatic feedback loop that continually improves the efficiency of your workflows and systems; Develop cloud AI solutions with Google Cloud Platform, including TPU, Colaboratory, and Datalab services; Define Amazon Web Services cloud AI workflows, including spot instances, code pipelines, boto, and more; Work with Microsoft Azure AI APIs; Walk through building six real-world AI applications, from start to finish.
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