September 2013
Intermediate to advanced
264 pages
5h
Chinese
Content preview from Bad Data 技術手冊
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242
| 索引
從資料庫產生 , 17
一個統計直方圖的統計直方圖 , 23
hot-deck imputation（熱卡插補法）, 132
HTML encoding（HTML 編碼）, 64-65
HTMLParser.unescape function（HTMLParser.
unescape 函式）, Python, 67
human-readable format（人類可讀的格式）, 31-
37
（也見 NLP；文字資料）
限制分析 , 33-35
搭配軟體讀取 , 38-46
I
iconv tool（iconv 工具）, 61
immutability（不變性）, 204, 206-207
imputation bias（推估偏頗）, 132, 132-134
Infochimps Data Marketplace, 72
inotifywait tool（inotifywait 工具）, 156, 163
J
Janert, Philipp K. (author)（作者）, 99-110
JavaScript Object Notation (see JSON)
（JavaScript 物件標示（見 JSON））
jellyfish library（jellyfish 函式庫）, Python, 68
JSON (JavaScript Object Notation)（JSON
（JavaScript 物件標示））, 6, 9, 159-160
K
Koch snowflake, 169
L
Laiacano, ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.