Pragmatic AI

Noah Gift



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.

  • 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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《實用人工智慧》將幫助您運用當代機器學習、人工智慧和雲端運算工具解決現實世界的問題。作者Noah Gift將解密您在數學或資料科學方面沒有深厚背景的情況下,所需的所有概念和工具,幫助您獲得結果。



- 獲取並配置所需的所有工具
- 快速回顧您需要開始構建機器學習應用程序的所有Python知識
- 掌握AI和ML工具鏈和項目生命周期
- 使用Python資料科學工具,如IPython、Pandas、Numpy、Juypter Notebook和Sklearn
- 結合實用的反饋循環,不斷提高工作流程和系統的效率
- 使用Google Cloud Platform開發雲端AI解決方案,包括TPU、Colaboratory和Datalab服務
- 定義Amazon Web Services的雲端AI工作流程,包括spot instances、code pipelines、boto等
- 使用Microsoft Azure AI API
- 逐步構建六個現實世界的AI應用程序,從頭到尾