Analytical Skills for AI and Data Science: Building Skills for an Ai-Driven Enterprise

Vaughan, Daniel

Analytical Skills for AI and Data Science: Building Skills for an Ai-Driven Enterprise
  • 出版商: O'Reilly
  • 出版日期: 2020-06-30
  • 定價: $2,600
  • 售價: 9.5 折 $2,470
  • 貴賓價: 9.0 折 $2,340
  • 語言: 英文
  • 頁數: 232
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1492060941
  • ISBN-13: 9781492060949
  • 相關分類: 人工智慧、Data Science

    • 立即出貨 (庫存=1)

買這商品的人也買了...

相關主題

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)

許多市場領先的公司已經成功地通過遵循數據和人工智能驅動的路徑轉變了他們的業務模式，但絕大多數公司尚未從中獲益。您的業務和分析部門如何通過充分利用這一預測革命的潛力獲得競爭優勢？這本實用指南提供了一種經過實戰驗證的端到端方法，幫助您將業務決策轉化為可追踪的預測性解決方案，並將數據和人工智能作為基本輸入。

作者丹尼爾·沃恩向數據科學家、分析從業人員和其他有興趣利用人工智能改變業務的人展示了如何提出正確的問題，並使用現代人工智能技術和決策原則創造價值。您將探索許多企業常見的用例，並提供您在解決自己問題時可以應用的示例。

- 將業務決策分解為可以使用分析工具箱中不同技能解決的階段
- 在決策中識別和接受不確定性，並防止常見的人類偏見
- 使用預測和預測性方法和技術為不同客戶定制最佳決策
- 提出通過人工智能和數據驅動技術創造高價值的業務問題

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)

Daniel Vaughan 是 Airbnb 在拉丁美洲的資料科學負責人。之前他在 Telefonica Mexico 擔任資料科學主管和首席資料官。他擁有超過 15 年的經驗，使用預測和規劃方法解決問題。

類似商品