Machine Learning for Business: Using Amazon Sagemaker and Jupyter

Hudgeon, Doug, Nichol, Richard

  • 出版商: Manning
  • 出版日期: 2020-01-24
  • 定價: $1,580
  • 售價: 9.5$1,501
  • 貴賓價: 9.0$1,422
  • 語言: 英文
  • 頁數: 300
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1617295833
  • ISBN-13: 9781617295836
  • 相關分類: MakerMachine Learning
  • 相關翻譯: 場景化機器學習 (簡中版)
  • 立即出貨 (庫存=1)

相關主題

商品描述

Imagine predicting which customers are thinking about switching to a competitor or flagging potential process failures before they happen. Think about the benefits of forecasting tedious business processes and back-office tasks. Consider the competitive advantage of making decisions when you know the most likely future events.

Machine Learning for Business teaches you how to make your company more automated, productive, and competitive by mastering practical, implementable machine learning techniques and tools. Thanks to the authors' down-to-earth style, you'll easily grok why process automation is so important and why machine learning is key to its success.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

商品描述(中文翻譯)

想像一下,能夠預測哪些顧客正在考慮轉向競爭對手,或是在問題發生之前就能夠發現潛在的流程失敗。想一想預測繁瑣的業務流程和後勤任務的好處。考慮一下當你知道最有可能發生的未來事件時,做出決策的競爭優勢。

《Machine Learning for Business》教你如何通過掌握實用、可實施的機器學習技術和工具,使你的公司更加自動化、高效和具有競爭力。由於作者平易近人的風格,你將輕鬆理解為什麼流程自動化如此重要,以及為什麼機器學習是其成功的關鍵。

購買印刷版書籍將包含一本免費的電子書,格式為PDF、Kindle和ePub,來自Manning Publications。

作者簡介

Doug Hudgeon runs a business automation consultancy, putting his considerable experience helping companies set up automation and machine learning teams to good use. In 2000, Doug launched one of Australia's first electronic invoicing automation companies.

Richard Nichol has over 20 years of experience as a data scientist and software engineer. He currently specializes in maximizing the value of data through AI and machine learning techniques.

作者簡介(中文翻譯)

Doug Hudgeon是一位經營業務自動化諮詢的專家,他憑藉豐富的經驗幫助公司建立自動化和機器學習團隊。在2000年,Doug創辦了澳大利亞最早的電子發票自動化公司之一。

Richard Nichol擁有超過20年的數據科學家和軟體工程師的經驗。他目前專注於通過人工智慧和機器學習技術最大化數據的價值。