Machine Learning in the AWS Cloud: Add Intelligence to Applications with Amazon SageMaker and Amazon Rekognition

Abhishek Mishra

  • 出版商: Sybex
  • 出版日期: 2019-09-11
  • 定價: $1,650
  • 售價: 9.5$1,568
  • 語言: 英文
  • 頁數: 528
  • ISBN: 1119556716
  • ISBN-13: 9781119556718
  • 相關分類: Amazon Web ServicesMakerMachine Learning
  • 立即出貨 (庫存 < 3)

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商品描述

Put the power of AWS Cloud machine learning services to work in your business and commercial applications! 

Machine Learning in the AWS Cloud introduces readers to the machine learning (ML) capabilities of the Amazon Web Services ecosystem and provides practical examples to solve real-world regression and classification problems. While readers do not need prior ML experience, they are expected to have some knowledge of Python and a basic knowledge of Amazon Web Services.

Part One introduces readers to fundamental machine learning concepts. You will learn about the types of ML systems, how they are used, and challenges you may face with ML solutions. Part Two focuses on machine learning services provided by Amazon Web Services. You’ll be introduced to the basics of cloud computing and AWS offerings in the cloud-based machine learning space. Then you’ll learn to use Amazon Machine Learning to solve a simpler class of machine learning problems, and Amazon SageMaker to solve more complex problems.

•    Learn techniques that allow you to preprocess data, basic feature engineering, visualizing data, and model building

•    Discover common neural network frameworks with Amazon SageMaker

•    Solve computer vision problems with Amazon Rekognition

•    Benefit from illustrations, source code examples, and sidebars in each chapter

The book appeals to both Python developers and technical/solution architects. Developers will find concrete examples that show them how to perform common ML tasks with Python on AWS. Technical/solution architects will find useful information on the machine learning capabilities of the AWS ecosystem.

商品描述(中文翻譯)

在您的商業和商業應用中,利用AWS雲端機器學習服務的強大功能!

《在AWS雲端中的機器學習》介紹了Amazon Web Services生態系統中的機器學習(ML)能力,並提供實際示例來解決現實世界中的迴歸和分類問題。雖然讀者不需要具備先前的ML經驗,但需要具備一些Python知識和基本的Amazon Web Services知識。

第一部分介紹了讀者基本的機器學習概念。您將了解不同類型的ML系統,以及它們的使用方式和可能遇到的挑戰。第二部分專注於Amazon Web Services提供的機器學習服務。您將介紹雲端運算的基礎知識以及AWS在基於雲端的機器學習領域的產品。然後,您將學習如何使用Amazon Machine Learning解決較簡單的機器學習問題,以及使用Amazon SageMaker解決更複雜的問題。

- 學習允許您預處理數據、基本特徵工程、視覺化數據和模型構建的技術
- 了解Amazon SageMaker中常見的神經網絡框架
- 使用Amazon Rekognition解決計算機視覺問題
- 在每個章節中受益於插圖、源代碼示例和側邊欄

本書適合Python開發人員和技術/解決方案架構師。開發人員將找到具體的示例,向他們展示如何在AWS上使用Python執行常見的ML任務。技術/解決方案架構師將找到有關AWS生態系統的機器學習能力的有用信息。