Mastering Machine Learning on AWS

Mengle, Saket S. R., Gurmendez, Maximo

  • 出版商: Packt Publishing
  • 出版日期: 2019-05-17
  • 售價: $1,520
  • 貴賓價: 9.5$1,444
  • 語言: 英文
  • 頁數: 306
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1789349796
  • ISBN-13: 9781789349795
  • 相關分類: Amazon Web ServicesMachine Learning
  • 下單後立即進貨 (約3~4週)

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商品描述

AWS is constantly driving new innovations that empower data scientists to explore a variety of machine learning (ML) cloud services. This book is your comprehensive reference for learning and implementing advanced ML algorithms in AWS cloud.

 

As you go through the chapters, you’ll gain insights into how these algorithms can be trained, tuned, and deployed in AWS using Apache Spark on Elastic Map Reduce (EMR), SageMaker, and TensorFlow. While you focus on algorithms such as XGBoost, linear models, factorization machines, and deep nets, the book will also provide you with an overview of AWS as well as detailed practical applications that will help you solve real-world problems. Every practical application includes a series of companion notebooks with all the necessary code to run on AWS. In the next few chapters, you will learn to use SageMaker and EMR Notebooks to perform a range of tasks, right from smart analytics and predictive modeling through to sentiment analysis.

 

By the end of this book, you will be equipped with the skills you need to effectively handle machine learning projects and implement and evaluate algorithms on AWS.

商品描述(中文翻譯)

AWS不斷推動新的創新,使數據科學家能夠探索各種機器學習(ML)雲服務。本書是您學習和在AWS雲中實施高級ML算法的全面參考資料。

通過閱讀本書的章節,您將深入了解這些算法如何在AWS上使用Apache Spark on Elastic Map Reduce(EMR)、SageMaker和TensorFlow進行訓練、調整和部署。除了專注於XGBoost、線性模型、分解機器和深度網絡等算法外,本書還將為您提供AWS的概述以及詳細的實際應用,幫助您解決現實世界的問題。每個實際應用都包含一系列的伴隨筆記本,其中包含在AWS上運行所需的所有代碼。在接下來的幾章中,您將學習使用SageMaker和EMR筆記本執行各種任務,從智能分析和預測建模到情感分析。

通過閱讀本書,您將具備在AWS上有效處理機器學習項目並實施和評估算法所需的技能。