Artificial Intelligence: A Systems Approach from Architecture Principles to Deployment (Hardcover)
暫譯: 人工智慧:從架構原則到部署的系統方法 (精裝版)

Martinez, David R., Kifle, Bruke M.

  • 出版商: MIT
  • 出版日期: 2024-06-11
  • 售價: $2,690
  • 貴賓價: 9.8$2,636
  • 語言: 英文
  • 頁數: 580
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 0262048981
  • ISBN-13: 9780262048989
  • 相關分類: 人工智慧
  • 立即出貨

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商品描述

The first text to take a systems engineering approach to artificial intelligence (AI), from architecture principles to the development and deployment of AI capabilities.

Most books on artificial intelligence (AI) focus on a single functional building block, such as machine learning or human-machine teaming. Artificial Intelligence takes a more holistic approach, addressing AI from the view of systems engineering. The book centers on the people-process-technology triad that is critical to successful development of AI products and services. Development starts with an AI design, based on the AI system architecture, and culminates with successful deployment of the AI capabilities. Directed toward AI developers and operational users, this accessibly written volume of the MIT Lincoln Laboratory Series can also serve as a text for undergraduate seniors and graduate-level students and as a reference book.

Key features:

  • In-depth look at modern computing technologies
  • Systems engineering description and means to successfully undertake an AI product or service development through deployment
  • Existing methods for applying machine learning operations (MLOps)
  • AI system architecture including a description of each of the AI pipeline building blocks
  • Challenges and approaches to attend to responsible AI in practice
  • Tools to develop a strategic roadmap and techniques to foster an innovative team environment
  • Multiple use cases that stem from the authors' MIT classes, as well as from AI practitioners, AI project managers, early-career AI team leaders, technical executives, and entrepreneurs
  • Exercises and Jupyter notebook examples

商品描述(中文翻譯)

首部以系統工程方法探討人工智慧(AI)的著作,涵蓋架構原則到AI能力的開發與部署。

大多數關於人工智慧(AI)的書籍專注於單一功能模組,例如機器學習或人機協作。《人工智慧》則採取更全面的視角,從系統工程的角度來看待AI。本書圍繞著對於成功開發AI產品和服務至關重要的人員-流程-技術三元組。開發始於基於AI系統架構的AI設計,最終以成功部署AI能力為結束。本書以通俗易懂的方式撰寫,面向AI開發者和操作用戶,也可作為本科高年級生和研究生的教材,以及參考書籍。

主要特色:


  • 深入探討現代計算技術

  • 系統工程描述及成功進行AI產品或服務開發至部署的手段

  • 應用機器學習運營(MLOps)的現有方法

  • AI系統架構,包括每個AI管道構建模組的描述

  • 在實踐中應對負責任AI的挑戰與方法

  • 開發戰略路線圖的工具及促進創新團隊環境的技術

  • 來自作者在MIT課程的多個案例,以及來自AI實踐者、AI項目經理、早期職業AI團隊領導者、技術高管和企業家的案例

  • 練習題和Jupyter notebook範例

作者簡介

David R. Martinez is a laboratory fellow at the MIT Lincoln Laboratory and the lead instructor for MIT's "AI Strategies and Roadmap: Systems Engineering Approach to AI Development and Deployment" and "AI and ML: Leading Business Growth" courses.
Bruke Mesfin Kifle is management consultant and former AI product manager at Microsoft Turing. He co-instructs MIT's "AI Strategies and Roadmap " course.

作者簡介(中文翻譯)

David R. Martinez 是麻省理工學院林肯實驗室的實驗室研究員,也是麻省理工學院「AI 策略與路線圖:系統工程方法於 AI 開發與部署」及「AI 與機器學習:引領商業成長」課程的主講教師。

Bruke Mesfin Kifle 是管理顧問及前微軟圖靈的 AI 產品經理。他共同教授麻省理工學院的「AI 策略與路線圖」課程。