Why Ai/Data Science Projects Fail: How to Avoid Project Pitfalls
暫譯: 為什麼 AI/數據科學專案失敗：如何避免專案陷阱
Weiner, Joyce
- 出版商: Springer
- 出版日期: 2025-07-30
- 售價: $1,640
- 貴賓價: 9.5 折 $1,558
- 語言: 英文
- 頁數: 71
- 裝訂: Quality Paper - also called trade paper
- ISBN: 3031908694
- ISBN-13: 9783031908699
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相關分類:
Large language model、Data-visualization
海外代購書籍(需單獨結帳)
商品描述
This Second Edition addresses five common pitfalls that prevent projects from reaching deployment and provides tools and methods to avoid these pitfalls. Current statistics show that 87% of AI and Big Data projects fail by never reaching deployment, making this book an essential resource for data science and AI practitioners, as well as managers. The author illustrates the methods and tools by including real examples from her experience building and deploying data science and AI projects. This new edition builds upon the original book with revisions, updates and features a new chapter on Generative AI.
商品描述(中文翻譯)
本書第二版針對五個常見的陷阱進行探討，這些陷阱會阻礙專案達成部署，並提供避免這些陷阱的工具和方法。根據目前的統計，87% 的人工智慧（AI）和大數據專案未能達成部署而失敗，因此本書對於數據科學和人工智慧的從業者以及管理者來說，是一本必備的資源。作者透過她在構建和部署數據科學及人工智慧專案的經驗，舉例說明這些方法和工具。本新版本在原書的基礎上進行了修訂和更新，並新增了一章關於生成式人工智慧（Generative AI）的內容。
作者簡介
Joyce Weiner is a Principal Engineer at Intel Corporation. Her area of technical expertise is data science and using data to drive efficiency. Joyce is a black belt in Lean Six Sigma. She has a B.S. in Physics from Rensselaer Polytechnic Institute and an M.S. in Optical Sciences from the University of Arizona.
作者簡介(中文翻譯)
Joyce Weiner 是英特爾公司（Intel Corporation）的首席工程師。她的技術專長領域是數據科學以及利用數據來提升效率。Joyce 是精益六西格瑪（Lean Six Sigma）的黑帶持有者。她擁有倫斯勒理工學院（Rensselaer Polytechnic Institute）的物理學學士學位，以及亞利桑那大學（University of Arizona）的光學科學碩士學位。
