The AI Playbook: Mastering the Rare Art of Machine Learning Deployment
Siegel, Eric
- 出版商: MIT
- 出版日期: 2024-02-06
- 售價: $1,340
- 貴賓價: 9.5 折 $1,273
- 語言: 英文
- 頁數: 256
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 0262048906
- ISBN-13: 9780262048903
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相關分類:
人工智慧、Machine Learning
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相關主題
商品描述
--Scott Galloway, NYU Stern Professor of Marketing; bestselling author of The Four
"An antidote to today's relentless AI hype--why some AI initiatives thrive while others fail and what it takes for companies and people to succeed."
--Charles Duhigg, author of bestsellers The Power of Habit and Smarter Faster Better The greatest tool is the hardest to use. Machine learning is the world's most important general-purpose technology--but it's notoriously difficult to launch. Outside Big Tech and a handful of other leading companies, machine learning initiatives routinely fail to deploy, never realizing value. What's missing? A specialized business practice suitable for wide adoption. In The AI Playbook, bestselling author Eric Siegel presents the gold-standard, six-step practice for ushering machine learning projects from conception to deployment. He illustrates the practice with stories of success and of failure, including revealing case studies from UPS, FICO, and prominent dot-coms. This disciplined approach serves both sides: It empowers business professionals, and it establishes a sorely needed strategic framework for data professionals.
Beyond detailing the practice, this book also upskills business professionals--painlessly. It delivers a vital yet friendly dose of semi-technical background knowledge that all stakeholders need to lead or participate in machine learning projects, end to end. This puts business and data professionals on the same page so that they can collaborate deeply, jointly establishing precisely what machine learning is called upon to predict, how well it predicts, and how its predictions are acted upon to improve operations. These essentials make or break each initiative--getting them right paves the way for machine learning's value-driven deployment. What kind of AI does this book cover? The buzzword AI can mean many things, but this book is about machine learning, which is a central basis for--and what many mean by--AI. To be specific, this book covers the most vital use cases of machine learning, those designed to improve a wide range of business operations.
商品描述(中文翻譯)
在他的暢銷書中,Eric Siegel解釋了機器學習的工作原理。現在,在《AI策略手冊》中,他展示了如何利用機器學習。
"Eric Siegel提供了一本關於機器學習的全面入門書,這是人工智慧的關鍵機制。這本前瞻性、實用的書籍是信息經濟中任何人必讀的書籍。"
- Scott Galloway,紐約大學斯特恩市場學教授,暢銷書《The Four》作者
"這是對當今無休止的人工智慧炒作的一種解藥,解釋了為什麼一些人工智慧項目取得成功,而其他項目失敗,以及公司和個人成功所需的條件。"
- Charles Duhigg,暢銷書《習慣的力量》和《更聰明、更快速》作者
最偉大的工具往往最難使用。機器學習是世界上最重要的通用技術,但它在推出時常常難以實現。除了大型科技公司和少數其他領先企業外,機器學習項目往往無法成功部署,無法實現價值。缺少什麼呢?需要一種適合廣泛應用的專業商業實踐。在《AI策略手冊》中,暢銷書作者Eric Siegel提出了一套金標準的、六步的實踐方法,用於引導機器學習項目從構思到部署。他通過成功和失敗的故事來說明這種實踐方法,包括UPS、FICO和知名互聯網公司的案例研究。這種紀律性的方法既能賦予商業專業人士權力,又能為數據專業人士建立一個迫切需要的戰略框架。
除了詳細介紹實踐方法外,這本書還以友好的方式提供了商業專業人士所需的半技術背景知識。這使得商業和數據專業人士能夠深入合作,共同確定機器學習需要預測的內容、預測的準確性以及如何根據預測結果改進業務運營。這些基本要素對於每個項目的成敗至關重要,正確理解它們為機器學習的價值驅動部署鋪平了道路。
這本書涵蓋了哪些類型的人工智慧?人工智慧這個流行詞可以有很多含義,但這本書講的是機器學習,這是人工智慧的核心基礎,也是許多人所指的人工智慧。具體而言,這本書涵蓋了機器學習最重要的應用案例,這些案例旨在改善各種業務運營。
作者簡介
作者簡介(中文翻譯)
Eric Siegel是一位領先的顧問,曾任哥倫比亞大學和UVA Darden的教授。他是長期舉辦機器學習週會議系列的創辦人,經常擔任主題演講嘉賓,並且是暢銷書《Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die》的作者。