Artículo: AMZ-1449367615

Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More

Format:

Paperback

Detalles del producto
Disponibilidad
En stock
Peso con empaque
0.80 kg
Devolución
Condición
Nuevo
Producto de
Amazon
Viaja desde
USA

Sobre este producto
  • 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.
$46,18
31% OFF
$31,84

IMPORT EASILY

By purchasing this product you can deduct VAT with your RUT number

$46,18
31% OFF
$31,84

3 meses de gracia en diferidos y hasta 6 meses sin intereses con Pacificard

Envío gratis
Llega en 12 a 16 días hábiles
Con envío
Tienes garantia de entrega
Este producto viaja de USA a tus manos en

Conoce más detalles

Used Book in Good Condition