Agile Data Science
Jurney, Russell
Venduto da WorldofBooks, Goring-By-Sea, WS, Regno Unito
Venditore AbeBooks dal 16 marzo 2007
Usato - Brossura
Condizione: Usato - Molto buono
Quantità: 3 disponibili
Aggiungere al carrelloVenduto da WorldofBooks, Goring-By-Sea, WS, Regno Unito
Venditore AbeBooks dal 16 marzo 2007
Condizione: Usato - Molto buono
Quantità: 3 disponibili
Aggiungere al carrelloThe book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Codice articolo GOR007997377
Mining big data requires a deep investment in people and time. How can you be sure you’re building the right models? With this hands-on book, you’ll learn a flexible toolset and methodology for building effective analytics applications with Hadoop.
Using lightweight tools such as Python, Apache Pig, and the D3.js library, your team will create an agile environment for exploring data, starting with an example application to mine your own email inboxes. You’ll learn an iterative approach that enables you to quickly change the kind of analysis you’re doing, depending on what the data is telling you. All example code in this book is available as working Heroku apps.
Russell Jurney cut his data teeth in casino gaming, building web apps to analyze the performance of slot machines in the US and Mexico. After dabbling in entrepreneurship, interactive media and journalism, he moved to silicon valley to build analytics applications at scale at Ning and LinkedIn. He lives on the ocean in Pacifica, California with his wife Kate and two fuzzy dogs.
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