Beautiful Data: The Stories Behind Elegant Data Solutions (Paperback)
暫譯: 美麗的數據：優雅數據解決方案背後的故事 (平裝本)

Toby Segaran, Jeff Hammerbacher

Beautiful Data: The Stories Behind Elegant Data Solutions (Paperback)

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商品描述

In this insightful book, you'll learn from the best data practitioners in the field just how wide-ranging -- and beautiful -- working with data can be. Join 39 contributors as they explain how they developed simple and elegant solutions on projects ranging from the Mars lander to a Radiohead video.

With Beautiful Data, you will:

  • Explore the opportunities and challenges involved in working with the vast number of datasets made available by the Web
  • Learn how to visualize trends in urban crime, using maps and data mashups
  • Discover the challenges of designing a data processing system that works within the constraints of space travel
  • Learn how crowdsourcing and transparency have combined to advance the state of drug research
  • Understand how new data can automatically trigger alerts when it matches or overlaps pre-existing data
  • Learn about the massive infrastructure required to create, capture, and process DNA data

That's only small sample of what you'll find in Beautiful Data. For anyone who handles data, this is a truly fascinating book. Contributors include:

Nathan Yau Jonathan Follett and Matt Holm J.M. Hughes Raghu Ramakrishnan, Brian Cooper, and Utkarsh Srivastava Jeff Hammerbacher Jason Dykes and Jo Wood Jeff Jonas and Lisa Sokol Jud Valeski Alon Halevy and Jayant Madhavan Aaron Koblin with Valdean Klump Michal Migurski Jeff Heer Coco Krumme Peter Norvig Matt Wood and Ben Blackburne Jean-Claude Bradley, Rajarshi Guha, Andrew Lang, Pierre Lindenbaum, Cameron Neylon, Antony Williams, and Egon Willighagen Lukas Biewald and Brendan O'Connor Hadley Wickham, Deborah Swayne, and David Poole Andrew Gelman, Jonathan P. Kastellec, and Yair Ghitza Toby Segaran

商品描述(中文翻譯)

在這本深具洞察力的書中，您將從該領域最優秀的數據實踐者那裡學到，處理數據的範圍是多麼廣泛且美麗。加入39位貢獻者的行列，他們將解釋如何在從火星著陸器到Radiohead音樂錄影帶的專案中，開發出簡單而優雅的解決方案。

透過《美麗的數據》，您將：
- 探索在網路上可用的龐大數據集所帶來的機會與挑戰
- 學習如何使用地圖和數據混合視覺化城市犯罪趨勢
- 發現設計一個在太空旅行限制下運作的數據處理系統所面臨的挑戰
- 了解眾包和透明度如何結合推進藥物研究的進展
- 理解當新數據與現有數據匹配或重疊時，如何自動觸發警報
- 瞭解創建、捕捉和處理DNA數據所需的龐大基礎設施

這只是《美麗的數據》中所包含內容的一小部分。對於任何處理數據的人來說，這是一本真正引人入勝的書。貢獻者包括：
Nathan Yau、Jonathan Follett 和 Matt Holm、J.M. Hughes、Raghu Ramakrishnan、Brian Cooper 和 Utkarsh Srivastava、Jeff Hammerbacher、Jason Dykes 和 Jo Wood、Jeff Jonas 和 Lisa Sokol、Jud Valeski、Alon Halevy 和 Jayant Madhavan、Aaron Koblin 與 Valdean Klump、Michal Migurski、Jeff Heer、Coco Krumme、Peter Norvig、Matt Wood 和 Ben Blackburne、Jean-Claude Bradley、Rajarshi Guha、Andrew Lang、Pierre Lindenbaum、Cameron Neylon、Antony Williams 和 Egon Willighagen、Lukas Biewald 和 Brendan O'Connor、Hadley Wickham、Deborah Swayne 和 David Poole、Andrew Gelman、Jonathan P. Kastellec 和 Yair Ghitza、Toby Segaran。

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