Artificial Intelligence for Business, 2/e
Rose, Doug
- 出版商: Pearson FT Press
- 出版日期: 2020-12-11
- 售價: $1,290
- 貴賓價: 9.5 折 $1,226
- 語言: 英文
- 頁數: 220
- 裝訂: Quality Paper - also called trade paper
- ISBN: 0136556612
- ISBN-13: 9780136556619
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相關分類:
人工智慧
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相關翻譯:
認識 AI:人工智能如何賦能商業, 2/e (Artificial Intelligence for Business, 2/e) (簡中版)
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相關主題
商品描述
Millions of non-technical professionals and leaders want to understand Artificial Intelligence (AI) and Machine Learning (ML) -- whether to improve their businesses, be more effective citizens, consumers or policymakers, or just out of sheer curiosity. Until now, most books on the subject have either been too complicated and mathematical, or have simply avoided the big picture by focusing on the use of specific software libraries. In Artificial Intelligence for Business , Doug Rose bridges the gap, offering today's most accessible and useful introduction to AI and ML technologies -- and what they can and can't do.
Rose begins by tracing AI's evolution from the early 1950s to the present, illuminating core ideas that still drive its development. Next, he explores recent innovations that have reinvigorated the field by providing the "big data" that makes machine learning so powerful - innovations such as GPS, social media and electronic transactions. Finally, he explains how today's machines learn by combining powerful processing, advanced algorithms, and artificial neural networks that mimic the human brain.
Throughout, he illustrates key concepts with practical examples that help you connect AI, ML, and neural networks to specific problems and solutions. Step by step, he systematically demystifies these powerful technologies, removing the fear, bewilderment, and advanced math -- so you can understand the new possibilities they create, and start using them.
商品描述(中文翻譯)
數百萬非技術專業人士和領導者希望了解人工智慧(AI)和機器學習(ML)- 無論是為了改善他們的業務,成為更有效的公民、消費者或政策制定者,還是出於純粹的好奇心。到目前為止,大多數關於這個主題的書籍要麼過於複雜和數學化,要麼只是避免了大局,專注於特定軟件庫的使用。在《人工智慧與商業》一書中,道格·羅斯(Doug Rose)彌合了這一差距,提供了當今最易於理解和有用的人工智慧和機器學習技術介紹 - 以及它們能做什麼和不能做什麼。
羅斯首先追溯了人工智慧從1950年代初至今的演變,闡明了仍然推動其發展的核心思想。接下來,他探討了最近的創新,這些創新通過提供使機器學習如此強大的“大數據”來重新激活該領域 - 例如GPS、社交媒體和電子交易。最後,他解釋了如今的機器是如何通過結合強大的處理能力、先進的算法和模仿人腦的人工神經網絡來學習的。
在整個過程中,他通過實際例子說明了關鍵概念,幫助您將人工智慧、機器學習和神經網絡與具體問題和解決方案相連接。他逐步系統地揭開了這些強大技術的神秘面紗,消除了恐懼、困惑和高深的數學知識 - 這樣您就能理解它們創造的新可能性,並開始使用它們。
作者簡介
Doug Rose (Atlanta, GA Area) specializes in organizational coaching, training, and change management. He's worked over twenty years transforming organizations with technology and training. Rose has helped several Fortune(R) 500 clients optimize business processes and improve productivity and delivery. He also teaches at the University of Chicago, Syracuse University, Emory University, and the University of Virginia.
作者簡介(中文翻譯)
Doug Rose(亞特蘭大,喬治亞地區)專注於組織教練、培訓和變革管理。他在運用技術和培訓改變組織方面已有超過二十年的經驗。Rose幫助過多家財富500強企業優化業務流程,提高生產力和交付能力。他還在芝加哥大學、雪城大學、埃默里大學和維吉尼亞大學任教。