Analytical Skills for AI and Data Science: Building Skills for an Ai-Driven Enterprise
暫譯: 人工智慧與數據科學的分析技能：為 AI 驅動的企業建立技能
Vaughan, Daniel
- 出版商: O'Reilly
- 出版日期: 2020-06-30
- 定價: $2,600
- 售價: 9.5 折 $2,470
- 語言: 英文
- 頁數: 232
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1492060941
- ISBN-13: 9781492060949
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相關分類:
人工智慧、Data Science
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商品描述
While several market-leading companies have successfully transformed their business models by following data- and AI-driven paths, the vast majority have yet to reap the benefits. How can your business and analytics units gain a competitive advantage by capturing the full potential of this predictive revolution? This practical guide presents a battle-tested end-to-end method to help you translate business decisions into tractable prescriptive solutions using data and AI as fundamental inputs.
Author Daniel Vaughan shows data scientists, analytics practitioners, and others interested in using AI to transform their businesses not only how to ask the right questions but also how to generate value using modern AI technologies and decision-making principles. You'll explore several use cases common to many enterprises, complete with examples you can apply when working to solve your own issues.
- Break business decisions into stages that can be tackled using different skills from the analytical toolbox
- Identify and embrace uncertainty in decision making and protect against common human biases
- Customize optimal decisions to different customers using predictive and prescriptive methods and technologies
- Ask business questions that create high value through AI- and data-driven technologies
商品描述(中文翻譯)
雖然幾家市場領導公司已成功透過數據和人工智慧驅動的路徑轉型其商業模式，但絕大多數公司尚未獲得這些好處。您的企業和分析單位如何能夠透過充分發揮這場預測革命的潛力來獲得競爭優勢？這本實用指南提供了一種經過實戰驗證的端到端方法，幫助您將商業決策轉化為可行的處方解決方案，並以數據和人工智慧作為基本輸入。
作者丹尼爾·沃恩（Daniel Vaughan）向數據科學家、分析實踐者及其他有興趣利用人工智慧轉型其業務的人士展示了如何不僅提出正確的問題，還能利用現代人工智慧技術和決策原則創造價值。您將探索許多企業常見的使用案例，並附有您可以在解決自身問題時應用的範例。
- 將商業決策分解為可以使用分析工具箱中不同技能來處理的階段
- 識別並接受決策中的不確定性，並防範常見的人類偏見
- 使用預測和處方方法及技術為不同客戶定制最佳決策
- 提出能夠通過人工智慧和數據驅動技術創造高價值的商業問題
作者簡介
Daniel Vaughan is the data science lead for Airbnb in Latin America. Previously he was Head of Data Science and Chief Data Officer at Telefonica Mexico. He has more than 15 years of experience solving problems using predictive and prescriptive methods.
作者簡介(中文翻譯)
丹尼爾·沃恩（Daniel Vaughan）是Airbnb在拉丁美洲的數據科學負責人。之前，他曾擔任墨西哥電信公司（Telefonica Mexico）的數據科學主管和首席數據官。他擁有超過15年的經驗，專注於使用預測和處方方法解決問題。
