Mining the Social Web, 2E
Matthew A. Russell
- 出版商: O'Reilly
- 出版日期: 2013-10-20
- 定價: $1,575
- 售價: 5.0 折 $788
- 語言: 英文
- 頁數: 448
- 裝訂: Paperback
- ISBN: 1449367615
- ISBN-13: 9781449367619
-
相關分類:
Version Control 版本控制系統、Data-mining 資料探勘
立即出貨(限量) (庫存=3)
買這商品的人也買了...
-
Pointers on C$4,780$4,541 -
深入淺出 Java 程式設計, 2/e (Head First Java, 2/e)$880$695 -
C++ Primer, 4/e (中文版)$990$891 -
重構─改善既有程式的設計, 2/e (Refactoring: Improving The Design of Existing Code)$800$680 -
深入淺出 PHP 與 MySQL (Head First PHP & MySQL)$980$774 -
Temporal Data Mining (Hardcover)$2,700$2,565 -
精通 Python 3 程式設計, 2/e (Programming in Python 3: A Complete Introduction to the Python Language, 2/e)$680$578 -
Computer Networks, 5/e (IE-Paperback)$1,300$1,235 -
R in Action (Paperback)$1,850$1,758 -
Joomla! 2.5 素人架站計畫$560$476 -
Raspberry Pi 原廠授權外殼(透明) (MULTICOMP - MC-RP001-CLR - ENCLOSURE, RASPBERRY PI, CLEAR)$350$333 -
無瑕的程式碼－敏捷軟體開發技巧守則 (Clean Code: A Handbook of Agile Software Craftsmanship)$580$452 -
超圖解 Arduino 互動設計入門 (附 Arduino UNO R3 開發板)$1,130$961 -
Arduino UNO R3 開發板(副廠相容版)附傳輸線$400$380 -
無瑕的程式碼－敏捷軟體開發技巧守則 + 番外篇－專業程式設計師的生存之道 (雙書合購)$940$700 -
iOS 7 程式設計實戰－171 個快速上手的開發技巧$480$408 -
Doing Data Science: Straight Talk from the Frontline (Paperback)$1,724$1,634 -
Android App 程式設計教本之無痛起步, 2/e$480$408 -
微互動 Microinteractions (Microinteractions: Designing with Details)$480$379 -
深入淺出 C#, 3/e (Head First C#, 3/e)$980$774 -
Make 國際中文版 vol.12 (Make: Volume 36 英文版)$380$304 -
改變世界的九大演算法 : 讓今日電腦無所不能的最強概念 (Nine Algorithms That Changed the Future: The Ingenious Ideas That Drive Today’s Computers)$360$284 -
Web Scraping with Python: Collecting Data from the Modern Web (Paperback)$1,064$1,008 -
Python 機器學習 (Python Machine Learning)$580$452 -
機器人雜誌 ROBOCON Magazine 2014/5 月號(No.16)$260$208
相關主題
商品描述
How can you tap into the wealth of social web data to discover who’s making connections with whom, what they’re talking about, and where they’re located? With this expanded and thoroughly revised edition, you’ll learn how to acquire, analyze, and summarize data from all corners of the social web, including Facebook, Twitter, LinkedIn, Google+, GitHub, email, websites, and blogs.
- Employ the Natural Language Toolkit, NetworkX, and other scientific computing tools to mine popular social web sites
- Apply advanced text-mining techniques, such as clustering and TF-IDF, to extract meaning from human language data
- Bootstrap interest graphs from GitHub by discovering affinities among people, programming languages, and coding projects
- Build interactive visualizations with D3.js, an extraordinarily flexible HTML5 and JavaScript toolkit
- Take advantage of more than two-dozen Twitter recipes, presented in O’Reilly’s popular "problem/solution/discussion" cookbook format
The example code for this unique data science book is maintained in a public GitHub repository. It’s designed to be easily accessible through a turnkey virtual machine that facilitates interactive learning with an easy-to-use collection of IPython Notebooks.
