The AI Playbook: Mastering the Rare Art of Machine Learning Deployment
暫譯: AI 實戰手冊:掌握機器學習部署的稀有技藝
Siegel, Eric
- 出版商: MIT
- 出版日期: 2024-02-06
- 售價: $1,360
- 貴賓價: 9.5 折 $1,292
- 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)
在他的暢銷首本書中,Eric Siegel 解釋了機器學習的運作方式。現在,在《AI 操作手冊》中,他展示了如何利用這項技術。
「Eric Siegel 提供了一本關於機器學習的堅實入門書,這是人工智慧的關鍵機制。這是一本前瞻性且實用的書籍,對於任何身處資訊經濟的人來說都是必讀之作。」
--Scott Galloway,NYU Stern 市場學教授;暢銷書《The Four》的作者
「這是對當今無情的 AI 熱潮的解藥——為什麼某些 AI 項目蓬勃發展而其他項目失敗,以及公司和個人成功所需的條件。」
--Charles Duhigg,暢銷書《The Power of Habit》和《Smarter Faster Better》的作者
最偉大的工具是最難使用的。機器學習是世界上最重要的通用技術,但啟動它卻 notoriously 困難。在大型科技公司和少數其他領先公司之外,機器學習計劃經常無法部署,從未實現價值。缺少什麼?一種適合廣泛採用的專業商業實踐。在《AI 操作手冊》中,暢銷書作者 Eric Siegel 提出了金標準的六步實踐,旨在將機器學習項目從構思推進到部署。他通過成功和失敗的故事來說明這一實踐,包括來自 UPS、FICO 和知名網路公司的案例研究。這種有紀律的方法同時服務於雙方:它賦能商業專業人士,並為數據專業人士建立了一個急需的戰略框架。
除了詳細說明這一實踐外,本書還無痛地提升商業專業人士的技能。它提供了一劑重要而友好的半技術背景知識,所有利益相關者都需要這些知識來主導或參與機器學習項目,從頭到尾。這使商業和數據專業人士能夠在同一頁面上深入合作,共同確定機器學習被要求預測的具體內容、預測的準確性,以及如何根據預測來改善操作。這些要素決定了每個計劃的成敗——正確處理它們為機器學習的價值驅動部署鋪平了道路。
這本書涵蓋了什麼樣的 AI?流行詞 AI 可以有許多含義,但這本書是關於機器學習的,這是 AI 的核心基礎,也是許多人所指的 AI。具體來說,本書涵蓋了機器學習的最重要用例,這些用例旨在改善各種商業操作。
作者簡介
作者簡介(中文翻譯)
埃瑞克·西格爾(Eric Siegel)是知名顧問,曾任哥倫比亞大學和維吉尼亞大學達登商學院教授。他是長期舉辦的機器學習週(Machine Learning Week)會議系列的創始人,經常擔任主題演講者,並且是暢銷書《預測分析:預測誰會點擊、購買、說謊或死亡》(Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die)的作者。