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[think]關於 twitter的資料科學家 數據科學家 數據專家

非常有趣的問題關於最近新興的一個名詞,"Data Scientist "。
我想這並不是一門新興的學問也不是單一目標就可以成為資料科學家。
起碼要有,

- 自動化處理資料的經驗
- 怎麼分析的know-how(需要怎樣的output)
- visualization 可視化分析 就是告訴你數據算完會長怎樣。

以前,這是一門隱晦的學問,因為常常都是有本事的人的看家本領。
要麻就在學界,要麻就封閉在業界,
最近因為big data狂潮,大家才又開始把這樣的觀念提出來講。

数据科学与R语言: Twitter的数据科学家是如何工作?
http://xccds1977.blogspot.tw/2012/03/twitter.html


"3. Was your latest post (on clustering) inspired by something you’re working on at Twitter (that you can discuss)?
I’ve been doing some work on clustering our users and advertisers, automatically inferring topic categories in text, and thinking about what we can learn from food on Twitter (for example, do men and women, or San Franciscans and New Yorkers, differ in what they eat? is there any relationship between what people eat and what they tweet, e.g., are people more likely to eat junk food when they’re sad?). So while the post wasn’t directly inspired by what I’m working on at Twitter, it’s definitely related."

From :Twitter Data Scientist Takes on McDonald's Entire Menu, Survives | MIT Technology Review
http://www.technologyreview.com/view/427305/twitter-data-scientist-takes-on-mcdonalds-entire-menu-survives/
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